<?xml version="1.0" encoding="UTF-8"?>
<!--generator='jetpack-16.2-a.3'-->
<!--Jetpack_Sitemap_Buffer_News_XMLWriter-->
<?xml-stylesheet type="text/xsl" href="//aibr.jp/news-sitemap.xsl"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd">
 <url>
  <loc>https://aibr.jp/archives/727865</loc>
  <lastmod>2026-08-27T14:53:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReMASC：現実的なリプレイ攻撃コーパスが示すVCS防御の本質（ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems）</news:title>
   <news:publication_date>2026-08-27T14:53:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727863</loc>
  <lastmod>2026-08-27T14:53:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>公共圏における知覚を写し取る単純な動的単語埋め込み（Simple dynamic word embeddings for mapping perceptions in the public sphere）</news:title>
   <news:publication_date>2026-08-27T14:53:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727861</loc>
  <lastmod>2026-08-27T14:52:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BridgeNetによる連続性配慮型確率ネットワークで年齢推定を精度向上（BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation）</news:title>
   <news:publication_date>2026-08-27T14:52:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727859</loc>
  <lastmod>2026-08-27T14:52:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズのある点群の局所正則化による幾何推定とデータ解析の改善（LOCAL REGULARIZATION OF NOISY POINT CLOUDS: IMPROVED GLOBAL GEOMETRIC ESTIMATES AND DATA ANALYSIS）</news:title>
   <news:publication_date>2026-08-27T14:52:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727857</loc>
  <lastmod>2026-08-27T14:52:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BERTは領域が変わると不安定になる（ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples）</news:title>
   <news:publication_date>2026-08-27T14:52:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727855</loc>
  <lastmod>2026-08-27T14:52:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Semantic Graph Convolutional Networksによる3D人間姿勢推定の革新（Semantic Graph Convolutional Networks for 3D Human Pose Regression）</news:title>
   <news:publication_date>2026-08-27T14:52:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727853</loc>
  <lastmod>2026-08-27T14:51:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的ネットワークモデルの普遍的検定に向けて（Toward Universal Testing of Dynamic Network Models）</news:title>
   <news:publication_date>2026-08-27T14:51:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727851</loc>
  <lastmod>2026-08-27T14:00:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>広域で検証された粗視化学習によるニューラルネットワーク気候パラメタリゼーション（Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse-graining）</news:title>
   <news:publication_date>2026-08-27T14:00:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727849</loc>
  <lastmod>2026-08-27T14:00:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チーム学習における個人貢献の公正評価（Learning in teams: peer evaluation for fair assessment of individual contributions）</news:title>
   <news:publication_date>2026-08-27T14:00:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727847</loc>
  <lastmod>2026-08-27T13:59:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限られた写真から360度パノラマを再構築する技術（360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View）</news:title>
   <news:publication_date>2026-08-27T13:59:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727845</loc>
  <lastmod>2026-08-27T13:59:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈と断片特徴の効果的利用による固有表現認識（Effective Context and Fragment Feature Usage for Named Entity Recognition）</news:title>
   <news:publication_date>2026-08-27T13:59:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727843</loc>
  <lastmod>2026-08-27T13:58:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>可変長系列を固定長で扱う局所検出による固有表現認識のマルチタスク学習（A Multi-task Learning Approach for Named Entity Recognition using Local Detection）</news:title>
   <news:publication_date>2026-08-27T13:58:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727841</loc>
  <lastmod>2026-08-27T13:58:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNのスケジューリング効率を測る指標と省メモリ化の可能性（Measuring scheduling efficiency of RNNs for NLP applications）</news:title>
   <news:publication_date>2026-08-27T13:58:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727839</loc>
  <lastmod>2026-08-27T13:57:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>集団行動認識のための畳み込み関係推論機（Convolutional Relational Machine for Group Activity Recognition）</news:title>
   <news:publication_date>2026-08-27T13:57:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727837</loc>
  <lastmod>2026-08-27T13:06:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の人間的嗜好を同時に学習に組み込む手法（Multi-Preference Actor Critic）</news:title>
   <news:publication_date>2026-08-27T13:06:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727835</loc>
  <lastmod>2026-08-27T13:06:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シングルキャリア指標変調によるIoT上り伝送（Single-Carrier Index Modulation for IoT Uplink）</news:title>
   <news:publication_date>2026-08-27T13:06:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727833</loc>
  <lastmod>2026-08-27T13:05:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限定された相互作用下での協調学習：分散探索に関する厳密な境界（Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits）</news:title>
   <news:publication_date>2026-08-27T13:05:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727831</loc>
  <lastmod>2026-08-27T13:05:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実世界における単眼3D人体姿勢推定の新展開（In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations）</news:title>
   <news:publication_date>2026-08-27T13:05:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727829</loc>
  <lastmod>2026-08-27T13:05:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>End-to-End畳み込み音響モデルJasper（Jasper: An End-to-End Convolutional Neural Acoustic Model）</news:title>
   <news:publication_date>2026-08-27T13:05:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727827</loc>
  <lastmod>2026-08-27T13:05:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習タスクの情報的複雑性と距離（The Information Complexity of Learning Tasks, their Structure and their Distance）</news:title>
   <news:publication_date>2026-08-27T13:05:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727825</loc>
  <lastmod>2026-08-27T13:04:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズ下の時系列を学習するRNNの振る舞い（Short note on the behavior of recurrent neural network for noisy dynamical system）</news:title>
   <news:publication_date>2026-08-27T13:04:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727823</loc>
  <lastmod>2026-08-27T12:13:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成・フィルタ・ランク：実運用対応NLGの文法性判定（Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems）</news:title>
   <news:publication_date>2026-08-27T12:13:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727821</loc>
  <lastmod>2026-08-27T12:13:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト検索から動画の瞬間を特定する弱監督学習（Weakly Supervised Video Moment Retrieval From Text Queries）</news:title>
   <news:publication_date>2026-08-27T12:13:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727819</loc>
  <lastmod>2026-08-27T12:12:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AMASSによるモーションキャプチャ統合の革新（AMASS: Archive of Motion Capture as Surface Shapes）</news:title>
   <news:publication_date>2026-08-27T12:12:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727817</loc>
  <lastmod>2026-08-27T12:12:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロバスト部分空間回復（Robust Subspace Recovery with Adversarial Outliers）</news:title>
   <news:publication_date>2026-08-27T12:12:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727815</loc>
  <lastmod>2026-08-27T12:12:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最密サブグラフ・最密サブマトリクスの凸最適化（Convex optimization for the densest subgraph and densest submatrix problems）</news:title>
   <news:publication_date>2026-08-27T12:12:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727813</loc>
  <lastmod>2026-08-27T12:12:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>合成方針によるタスク・環境横断の転移と適応（Synthesized Policies for Transfer and Adaptation across Tasks and Environments）</news:title>
   <news:publication_date>2026-08-27T12:12:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727811</loc>
  <lastmod>2026-08-27T12:11:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非同期行動列を生成する確率モデルの提案（A Variational Auto-Encoder Model for Stochastic Point Processes）</news:title>
   <news:publication_date>2026-08-27T12:11:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727809</loc>
  <lastmod>2026-08-27T11:20:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>荷電流深部散乱におけるチャーム生成の計測（Charm production in charged current deep inelastic scattering at HERA）</news:title>
   <news:publication_date>2026-08-27T11:20:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727807</loc>
  <lastmod>2026-08-27T11:20:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセルからプランへ：プランナーを模倣して学ぶ非把持操作（Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner）</news:title>
   <news:publication_date>2026-08-27T11:20:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727805</loc>
  <lastmod>2026-08-27T11:19:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>「教師なし学習」という呼び方は誤解か？（Is ‘Unsupervised Learning’ a Misconceived Term?）</news:title>
   <news:publication_date>2026-08-27T11:19:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727803</loc>
  <lastmod>2026-08-27T11:19:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床ノートに対する注意機構の解析（An Analysis of Attention over Clinical Notes for Predictive Tasks）</news:title>
   <news:publication_date>2026-08-27T11:19:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727801</loc>
  <lastmod>2026-08-27T11:19:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Spatial CUSUMによる空間信号領域検出（Spatial CUSUM for Signal Region Detection）</news:title>
   <news:publication_date>2026-08-27T11:19:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727799</loc>
  <lastmod>2026-08-27T11:18:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生テキストから意味役割への言語横断的転送（Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles）</news:title>
   <news:publication_date>2026-08-27T11:18:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727797</loc>
  <lastmod>2026-08-27T11:18:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意の蒸留によるビデオ表現学習（Attention Distillation for Learning Video Representations）</news:title>
   <news:publication_date>2026-08-27T11:18:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727795</loc>
  <lastmod>2026-08-27T10:27:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低分解能スペクトルからの金属豊富型星（Am星）同定と機械学習の実務的意義（Metallic-Line Stars Identified from Low Resolution Spectra of LAMOST DR5）</news:title>
   <news:publication_date>2026-08-27T10:27:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727793</loc>
  <lastmod>2026-08-27T10:26:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声の未ラベルデータから汎用表現を作る手法（An Unsupervised Autoregressive Model for Speech Representation Learning）</news:title>
   <news:publication_date>2026-08-27T10:26:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727791</loc>
  <lastmod>2026-08-27T10:26:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HOList: 高階定理証明学習環境（HOList: An Environment for Machine Learning of Higher-Order Theorem Proving）</news:title>
   <news:publication_date>2026-08-27T10:26:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727789</loc>
  <lastmod>2026-08-27T10:26:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NELEC によるチャット文の感情検出の実務的示唆（NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep）</news:title>
   <news:publication_date>2026-08-27T10:26:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727787</loc>
  <lastmod>2026-08-27T10:25:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ShapeMaskによる未学習カテゴリの物体分割の革新（ShapeMask: Learning to Segment Novel Objects by Reﬁning Shape Priors）</news:title>
   <news:publication_date>2026-08-27T10:25:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727785</loc>
  <lastmod>2026-08-27T10:25:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床文書における感情判定の領域適応の重要性（Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records）</news:title>
   <news:publication_date>2026-08-27T10:25:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727783</loc>
  <lastmod>2026-08-27T10:25:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>組織の3レベルで読み解くアジリティ（Learning more from crossing levels: Investigating agility at three levels of the organization）</news:title>
   <news:publication_date>2026-08-27T10:25:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727781</loc>
  <lastmod>2026-08-27T09:33:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原始的内部運動に由来するハロースピン（Halo Spin from Primordial Inner Motions）</news:title>
   <news:publication_date>2026-08-27T09:33:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727779</loc>
  <lastmod>2026-08-27T09:33:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Fishyscapes ベンチマーク：セマンティックセグメンテーションにおける盲点の測定（The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-27T09:33:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727777</loc>
  <lastmod>2026-08-27T09:33:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セマンティック認識を組み込んだ知識保持でゼロショット・スケッチ検索を強化する（Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval）</news:title>
   <news:publication_date>2026-08-27T09:33:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727775</loc>
  <lastmod>2026-08-27T09:32:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理的構築に向けた構造化エージェント（Structured agents for physical construction）</news:title>
   <news:publication_date>2026-08-27T09:32:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727773</loc>
  <lastmod>2026-08-27T09:32:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多様性を導入した隠れマルコフモデルによる系列ラベリング（Diversified Hidden Markov Models for Sequential Labeling）</news:title>
   <news:publication_date>2026-08-27T09:32:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727771</loc>
  <lastmod>2026-08-27T09:31:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学術論文タイトルを読みやすく変える手法（Improving Scientific Article Visibility by Neural Title Simplification）</news:title>
   <news:publication_date>2026-08-27T09:31:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727769</loc>
  <lastmod>2026-08-27T09:31:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>進化的手法で破局的忘却を減らす（Reducing catastrophic forgetting when evolving neural networks）</news:title>
   <news:publication_date>2026-08-27T09:31:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727767</loc>
  <lastmod>2026-08-27T08:40:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適化としての教師なし画像マッチングとオブジェクト発見（Unsupervised Image Matching and Object Discovery as Optimization）</news:title>
   <news:publication_date>2026-08-27T08:40:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727765</loc>
  <lastmod>2026-08-27T08:38:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間ショートカットネットワークによる姿勢推定の効率化（Spatial Shortcut Network for Human Pose Estimation）</news:title>
   <news:publication_date>2026-08-27T08:38:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727763</loc>
  <lastmod>2026-08-27T08:30:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HomebrewedDB：6D姿勢推定のためのRGB-Dデータセット（HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects）</news:title>
   <news:publication_date>2026-08-27T08:30:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727761</loc>
  <lastmod>2026-08-27T08:30:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>離散フーリエ変換が分子の電子特性予測を変える（Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning）</news:title>
   <news:publication_date>2026-08-27T08:30:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727759</loc>
  <lastmod>2026-08-27T08:29:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>記憶を学習する仕組み：シナプス可塑性に基づく継続学習フレームワーク（Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning）</news:title>
   <news:publication_date>2026-08-27T08:29:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727757</loc>
  <lastmod>2026-08-27T08:29:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モンジュ行列の推定（Estimation of Monge Matrices）</news:title>
   <news:publication_date>2026-08-27T08:29:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727755</loc>
  <lastmod>2026-08-27T08:29:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低遅延の教師なし音声強調手法の実装と意義（Unsupervised Low Latency Speech Enhancement with RT-GCC-NMF）</news:title>
   <news:publication_date>2026-08-27T08:29:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727753</loc>
  <lastmod>2026-08-27T07:38:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>べき乗則に適応した確率的ブロックモデル（Adapting Stochastic Block Models to Power-Law Degree Distributions）</news:title>
   <news:publication_date>2026-08-27T07:38:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727751</loc>
  <lastmod>2026-08-27T07:37:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相互一貫性を用いた高速な弱教師あり行動分割（Fast Weakly Supervised Action Segmentation Using Mutual Consistency）</news:title>
   <news:publication_date>2026-08-27T07:37:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727749</loc>
  <lastmod>2026-08-27T07:37:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療画像における深層学習の可視化を再定義する手法（Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks）</news:title>
   <news:publication_date>2026-08-27T07:37:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727747</loc>
  <lastmod>2026-08-27T07:36:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>初期宇宙における高速ガス流出の発見（Fast Outflows Identified in Early Star-Forming Galaxies at z = 5–6）</news:title>
   <news:publication_date>2026-08-27T07:36:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727745</loc>
  <lastmod>2026-08-27T07:36:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クリックデータからの不確実性を伴う多様な個人化推薦（Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows Model）</news:title>
   <news:publication_date>2026-08-27T07:36:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727743</loc>
  <lastmod>2026-08-27T07:36:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル言語モデルを「覗く」ための方法論（Analyzing and Interpreting Neural Networks for NLP）</news:title>
   <news:publication_date>2026-08-27T07:36:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727741</loc>
  <lastmod>2026-08-27T07:36:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>情報集約によるマルチヘッド注意の改善（Information Aggregation for Multi-Head Attention with Routing-by-Agreement）</news:title>
   <news:publication_date>2026-08-27T07:36:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727739</loc>
  <lastmod>2026-08-27T06:44:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>21-cm観測と暖かい暗黒物質モデル（21-cm observations and warm dark matter models）</news:title>
   <news:publication_date>2026-08-27T06:44:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727737</loc>
  <lastmod>2026-08-27T06:44:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Transformerに再帰性を持たせる設計（Modeling Recurrence for Transformer）</news:title>
   <news:publication_date>2026-08-27T06:44:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727735</loc>
  <lastmod>2026-08-27T06:44:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形ランダム行列モデルの固有値分布（Eigenvalue distribution of some nonlinear models of random matrices）</news:title>
   <news:publication_date>2026-08-27T06:44:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727733</loc>
  <lastmod>2026-08-27T06:43:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>会話で学ぶCLEARumor：ELMoと畳み込みで噂を見抜く（CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors）</news:title>
   <news:publication_date>2026-08-27T06:43:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727731</loc>
  <lastmod>2026-08-27T06:43:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エネルギー散逸ネットワークによるニューラルネット制御（Controlling Neural Networks via Energy Dissipation）</news:title>
   <news:publication_date>2026-08-27T06:43:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727729</loc>
  <lastmod>2026-08-27T06:43:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>放射線治療の輪郭決定を変える畳み込み型ゲート付きグラフニューラルネットワーク（Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network）</news:title>
   <news:publication_date>2026-08-27T06:43:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727727</loc>
  <lastmod>2026-08-27T06:42:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知数の話者を1モデルで分離する再帰的音声分離（Recursive speech separation for unknown number of speakers）</news:title>
   <news:publication_date>2026-08-27T06:42:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727725</loc>
  <lastmod>2026-08-27T05:51:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソースコードにおける埋め込み表現の文献調査（A Literature Study of Embeddings on Source Code）</news:title>
   <news:publication_date>2026-08-27T05:51:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727723</loc>
  <lastmod>2026-08-27T05:51:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>信頼度の異なる複数情報源を統合する確率的ヒートマップ（Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources）</news:title>
   <news:publication_date>2026-08-27T05:51:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727721</loc>
  <lastmod>2026-08-27T05:50:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散環境における契約的データ共有の概念アーキテクチャ（A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment）</news:title>
   <news:publication_date>2026-08-27T05:50:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727719</loc>
  <lastmod>2026-08-27T05:50:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像文脈におけるマルチタスク学習のタスク関連性学習（Learning Task Relatedness in Multi-Task Learning for Images in Context）</news:title>
   <news:publication_date>2026-08-27T05:50:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727717</loc>
  <lastmod>2026-08-27T05:49:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コードスメルの転移学習可能性を探る（On the Feasibility of Transfer-learning Code Smells using Deep Learning）</news:title>
   <news:publication_date>2026-08-27T05:49:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727715</loc>
  <lastmod>2026-08-27T05:49:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不完全データからの定量的システムリスク評価（Quantitative system risk assessment from incomplete data with belief networks and pairwise comparison elicitation）</news:title>
   <news:publication_date>2026-08-27T05:49:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727713</loc>
  <lastmod>2026-08-27T05:49:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>イベント発火型学習で通信を賢く減らす（Event-triggered Learning）</news:title>
   <news:publication_date>2026-08-27T05:49:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727711</loc>
  <lastmod>2026-08-27T04:57:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトルモデルと深層学習を組み合わせた頑健なバイノーラル音源定位（Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-27T04:57:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727709</loc>
  <lastmod>2026-08-27T04:57:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スクラッチからの計画立案：オフラインモデルとオンラインMCTSの統合（Planning from Scratch: Combining Offline Models and Online Monte-Carlo Tree Search for Planning from Scratch）</news:title>
   <news:publication_date>2026-08-27T04:57:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727707</loc>
  <lastmod>2026-08-27T04:57:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深在環境下における多音源の両耳（バイノーラル）定位にDNNと頭部回転を活用する手法（Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments）</news:title>
   <news:publication_date>2026-08-27T04:57:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727705</loc>
  <lastmod>2026-08-27T04:56:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関係認識型グローバル注意による人物再認識（Relation-Aware Global Attention for Person Re-identification）</news:title>
   <news:publication_date>2026-08-27T04:56:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727703</loc>
  <lastmod>2026-08-27T04:56:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>どの物を使うべきか — タスク駆動型物体検出（What Object Should I Use? - Task Driven Object Detection）</news:title>
   <news:publication_date>2026-08-27T04:56:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727701</loc>
  <lastmod>2026-08-27T04:56:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動微分と記号微分の同等性（On the Equivalence of Automatic and Symbolic Differentiation）</news:title>
   <news:publication_date>2026-08-27T04:56:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727699</loc>
  <lastmod>2026-08-27T04:56:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>睡眠呼吸障害に関する音響検出のための深層学習特徴（DEEP LEARNING FEATURES FOR ROBUST DETECTION OF ACOUSTIC EVENTS IN SLEEP-DISORDERED BREATHING）</news:title>
   <news:publication_date>2026-08-27T04:56:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727697</loc>
  <lastmod>2026-08-27T04:05:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極値のk-meansクラスタリング（k-means clustering of extremes）</news:title>
   <news:publication_date>2026-08-27T04:05:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727695</loc>
  <lastmod>2026-08-27T04:04:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数測定データのためのトポロジカル分類法（A topological data analysis based classification method for multiple measurements）</news:title>
   <news:publication_date>2026-08-27T04:04:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727693</loc>
  <lastmod>2026-08-27T04:04:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セマンティック属性マッチングネットワーク（Semantic Attribute Matching Networks）</news:title>
   <news:publication_date>2026-08-27T04:04:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727691</loc>
  <lastmod>2026-08-27T04:04:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分観測下の拡散ネットワークにおけるグラフ学習（Graph Learning over Partially Observed Diffusion Networks: Role of Degree Concentration）</news:title>
   <news:publication_date>2026-08-27T04:04:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727689</loc>
  <lastmod>2026-08-27T04:03:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Logitron：拡張ロジスティック損失に基づくPerceptron拡張分類モデル（Logitron: Perceptron-augmented classification model based on an extended logistic loss function）</news:title>
   <news:publication_date>2026-08-27T04:03:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727687</loc>
  <lastmod>2026-08-27T04:03:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ELMo埋め込みの重み付け最適化──層をどう組み合わせるべきか（Alternative Weighting Schemes for ELMo Embeddings）</news:title>
   <news:publication_date>2026-08-27T04:03:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727685</loc>
  <lastmod>2026-08-27T04:03:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>継続的に適応するステレオ深度推定の学習（Learning to Adapt for Stereo）</news:title>
   <news:publication_date>2026-08-27T04:03:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727683</loc>
  <lastmod>2026-08-27T03:12:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNから重み付き有限オートマトンを取り出す手法（Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces）</news:title>
   <news:publication_date>2026-08-27T03:12:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727681</loc>
  <lastmod>2026-08-27T03:12:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心とスケール予測によるアンカーフリー歩行者・顔検出（Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection）</news:title>
   <news:publication_date>2026-08-27T03:12:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727679</loc>
  <lastmod>2026-08-27T03:11:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二次的帰納推論の公理的アプローチ（SECOND-ORDER INDUCTIVE INFERENCE: AN AXIOMATIC APPROACH）</news:title>
   <news:publication_date>2026-08-27T03:11:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727677</loc>
  <lastmod>2026-08-27T03:11:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトルグラフクラスタリングの同時次元・複雑性モデル選択（Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering）</news:title>
   <news:publication_date>2026-08-27T03:11:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727675</loc>
  <lastmod>2026-08-27T03:11:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分岐型マルチタスクネットワーク：どの層を共有すべきか（Branched Multi-Task Networks: Deciding What Layers To Share）</news:title>
   <news:publication_date>2026-08-27T03:11:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727673</loc>
  <lastmod>2026-08-27T03:11:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブラインドデコンボリューション顕微鏡法（Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer）</news:title>
   <news:publication_date>2026-08-27T03:11:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727671</loc>
  <lastmod>2026-08-27T03:10:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>仮想コホートのシミュレーションがMCI被験者の認知機能低下予測の精度を向上させる（Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects）</news:title>
   <news:publication_date>2026-08-27T03:10:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727669</loc>
  <lastmod>2026-08-27T02:19:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双方向予測による深層予測型ビデオ圧縮（Deep Predictive Video Compression with Bi-directional Prediction）</news:title>
   <news:publication_date>2026-08-27T02:19:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727667</loc>
  <lastmod>2026-08-27T02:18:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化された銀河形態進化シミュレーションと機械学習（Automated Simulations of Galaxy Morphology Evolution using Deep Learning and Particle Swarm Optimisation）</news:title>
   <news:publication_date>2026-08-27T02:18:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727665</loc>
  <lastmod>2026-08-27T02:17:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>服画像のクロスドメイン検索を深層離散表現でつなぐ（Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval）</news:title>
   <news:publication_date>2026-08-27T02:17:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727663</loc>
  <lastmod>2026-08-27T02:17:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Single-Path NAS：モバイル向け高効率ConvNetを4時間未満で設計する手法（Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours）</news:title>
   <news:publication_date>2026-08-27T02:17:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727661</loc>
  <lastmod>2026-08-27T02:16:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>平行移動不変攻撃による転移可能な敵対的事例の回避（Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks）</news:title>
   <news:publication_date>2026-08-27T02:16:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727659</loc>
  <lastmod>2026-08-27T02:16:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半教師あり学習における欠測ラベルのパターン（On missing label patterns in semi-supervised learning）</news:title>
   <news:publication_date>2026-08-27T02:16:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727657</loc>
  <lastmod>2026-08-27T01:24:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Attentionモデルに関する注意深いレビュー（An Attentive Survey of Attention Models）</news:title>
   <news:publication_date>2026-08-27T01:24:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727655</loc>
  <lastmod>2026-08-27T01:24:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mumford‑Shahに基づく深層学習のための損失関数（Mumford-Shah Loss Functional for Image Segmentation with Deep Learning）</news:title>
   <news:publication_date>2026-08-27T01:24:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727653</loc>
  <lastmod>2026-08-27T01:23:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ニューラル遷移モデルで拡張するスケーラブルプランニング（Scalable Planning with Deep Neural Network Learned Transition Models）</news:title>
   <news:publication_date>2026-08-27T01:23:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727651</loc>
  <lastmod>2026-08-27T01:23:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速時空間残差ネットワークによる動画超解像（Fast Spatio-Temporal Residual Network for Video Super-Resolution）</news:title>
   <news:publication_date>2026-08-27T01:23:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727649</loc>
  <lastmod>2026-08-27T01:22:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ライブデータを能動的に検索・学習する手法（Actively Seeking and Learning from Live Data）</news:title>
   <news:publication_date>2026-08-27T01:22:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727647</loc>
  <lastmod>2026-08-27T01:22:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データへの公正な価値付け（Data Shapley: Equitable Valuation of Data for Machine Learning）</news:title>
   <news:publication_date>2026-08-27T01:22:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727645</loc>
  <lastmod>2026-08-27T01:22:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゼロショット顔偽装検知におけるDeep Tree Networkの提案（Deep Tree Learning for Zero-shot Face Anti-Spooﬁng）</news:title>
   <news:publication_date>2026-08-27T01:22:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727643</loc>
  <lastmod>2026-08-27T00:31:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的予測の再較正（Probabilistic Recalibration of Forecasts）</news:title>
   <news:publication_date>2026-08-27T00:31:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727641</loc>
  <lastmod>2026-08-27T00:31:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不合理なリスク知覚を考慮した経路計画（Planning under non-rational perception of uncertain spatial costs）</news:title>
   <news:publication_date>2026-08-27T00:31:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727639</loc>
  <lastmod>2026-08-27T00:30:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>隠れたデータ不均衡を克服する音響イベントのサブ辞書学習（Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning）</news:title>
   <news:publication_date>2026-08-27T00:30:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727637</loc>
  <lastmod>2026-08-27T00:30:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>材料と構造の同時逆設計を深層学習で実現（Simultaneous inverse-design of material and structure via deep-learning）</news:title>
   <news:publication_date>2026-08-27T00:30:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727635</loc>
  <lastmod>2026-08-27T00:30:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>層ごとの不確実性最小化による敵対的入力検知（Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-27T00:30:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727633</loc>
  <lastmod>2026-08-27T00:30:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波イメージングのための深層学習ベース汎用ビームフォーマー（Deep Learning-based Universal Beamformer for Ultrasound Imaging）</news:title>
   <news:publication_date>2026-08-27T00:30:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727631</loc>
  <lastmod>2026-08-27T00:29:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大学教室における物理問題と社会的ネットワーク形成（Physics problems and instructional strategies for developing social networks in university classrooms）</news:title>
   <news:publication_date>2026-08-27T00:29:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727629</loc>
  <lastmod>2026-08-26T23:38:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>何が推定できるか（What can be estimated?）</news:title>
   <news:publication_date>2026-08-26T23:38:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727627</loc>
  <lastmod>2026-08-26T23:29:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種スケールを統合する感情語彙のMulti-View VAE（Combining Sentiment Lexica with a Multi-View Variational Autoencoder）</news:title>
   <news:publication_date>2026-08-26T23:29:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727625</loc>
  <lastmod>2026-08-26T23:29:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電力品質異常の機械学習による分類法（A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain）</news:title>
   <news:publication_date>2026-08-26T23:29:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727623</loc>
  <lastmod>2026-08-26T23:29:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FLightNNsによる軽量量子化ニューラルネットワークの実運用価値（FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference）</news:title>
   <news:publication_date>2026-08-26T23:29:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727621</loc>
  <lastmod>2026-08-26T23:28:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソースコードの「編集」を学習するニューラルネットワーク（Neural Networks for Modeling Source Code Edits）</news:title>
   <news:publication_date>2026-08-26T23:28:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727619</loc>
  <lastmod>2026-08-26T23:28:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>活性化分布の正則化によるバイナリ化ニューラルネットワークの学習改善（Regularizing Activation Distribution for Training Binarized Deep Networks）</news:title>
   <news:publication_date>2026-08-26T23:28:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727617</loc>
  <lastmod>2026-08-26T23:27:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インスタンスベースのスーパーセットラベル学習に対する正則化アプローチ（A Regularization Approach for Instance-based Superset Label Learning）</news:title>
   <news:publication_date>2026-08-26T23:27:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727615</loc>
  <lastmod>2026-08-26T22:36:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈化埋め込みの教師なしドメイン適応による系列ラベリング改善（Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling）</news:title>
   <news:publication_date>2026-08-26T22:36:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727613</loc>
  <lastmod>2026-08-26T22:36:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像再構成：スパーシティからデータ適応手法と機械学習へ (Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning)</news:title>
   <news:publication_date>2026-08-26T22:36:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727611</loc>
  <lastmod>2026-08-26T22:34:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層型自己注意ネットワークによるトピックスポッティング（Topic Spotting using Hierarchical Networks with Self Attention）</news:title>
   <news:publication_date>2026-08-26T22:34:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727609</loc>
  <lastmod>2026-08-26T22:34:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感情駆動型対話生成（Affect-Driven Dialog Generation）</news:title>
   <news:publication_date>2026-08-26T22:34:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727607</loc>
  <lastmod>2026-08-26T22:34:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Faster R-CNNを用いた人間–機械協調視覚探索の評価（Assessment of Faster R-CNN in Man-Machine collaborative search）</news:title>
   <news:publication_date>2026-08-26T22:34:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727605</loc>
  <lastmod>2026-08-26T22:34:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適ベイズ推論における重なり行列の収束（Overlap matrix concentration in optimal Bayesian inference）</news:title>
   <news:publication_date>2026-08-26T22:34:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727603</loc>
  <lastmod>2026-08-26T22:32:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Amazonレビューの深層感情分析と評価の整合性検出（DEEP LEARNING SENTIMENT ANALYSIS OF AMAZON.COM REVIEWS AND RATINGS）</news:title>
   <news:publication_date>2026-08-26T22:32:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727601</loc>
  <lastmod>2026-08-26T21:41:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人間評価と統計評価を統一する指標の提案（Unifying Human and Statistical Evaluation for Natural Language Generation）</news:title>
   <news:publication_date>2026-08-26T21:41:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727599</loc>
  <lastmod>2026-08-26T21:41:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニュースキャスター音声を少量データで合成する二様式テキスト読み上げモデル（In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data）</news:title>
   <news:publication_date>2026-08-26T21:41:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727597</loc>
  <lastmod>2026-08-26T21:40:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複雑さ重み付き損失と多様な再ランキングによる文章簡約化（Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification）</news:title>
   <news:publication_date>2026-08-26T21:40:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727595</loc>
  <lastmod>2026-08-26T21:40:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逐次適応型機械学習の枠組み（Adaptive Sequential Machine Learning）</news:title>
   <news:publication_date>2026-08-26T21:40:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727593</loc>
  <lastmod>2026-08-26T21:40:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意図認識を組み込んだ確率的軌道推定による衝突予測と不確実性定量化（Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification）</news:title>
   <news:publication_date>2026-08-26T21:40:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727591</loc>
  <lastmod>2026-08-26T21:40:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>沿岸域の魚類分類におけるCNNとSqueeze‑and‑Excitationの活用（Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation）</news:title>
   <news:publication_date>2026-08-26T21:40:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727589</loc>
  <lastmod>2026-08-26T20:47:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像からの盲目的視覚モチーフ除去（Blind Visual Motif Removal from a Single Image）</news:title>
   <news:publication_date>2026-08-26T20:47:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727587</loc>
  <lastmod>2026-08-26T20:37:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話スタイル適合を行うエンドツーエンド会話エージェント (An End-to-End Conversational Style Matching Agent)</news:title>
   <news:publication_date>2026-08-26T20:37:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727585</loc>
  <lastmod>2026-08-26T20:37:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Affinityグラフ上で学習する顔クラスタリング（Learning to Cluster Faces on an Affinity Graph）</news:title>
   <news:publication_date>2026-08-26T20:37:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727583</loc>
  <lastmod>2026-08-26T20:35:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一高次テンソルでFCNをパラメータ化するT-Net（T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor）</news:title>
   <news:publication_date>2026-08-26T20:35:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727581</loc>
  <lastmod>2026-08-26T20:35:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河球状星団における炭素不均一性と深混合速度の普及（Carbon Abundance Inhomogeneities and Deep Mixing Rates in Galactic Globular Clusters）</news:title>
   <news:publication_date>2026-08-26T20:35:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727579</loc>
  <lastmod>2026-08-26T20:35:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習の偏りを正す物体検出の設計―Libra R-CNNの示した均衡化戦略（Libra R-CNN: Towards Balanced Learning for Object Detection）</news:title>
   <news:publication_date>2026-08-26T20:35:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727577</loc>
  <lastmod>2026-08-26T20:34:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習による系外惑星同定 III：TESS候補の自動選別と検証（IDENTIFYING EXOPLANETS WITH DEEP LEARNING III: AUTOMATED TRIAGE AND VETTING OF TESS CANDIDATES）</news:title>
   <news:publication_date>2026-08-26T20:34:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727575</loc>
  <lastmod>2026-08-26T19:43:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neural#DNFによる近似DNFカウントの学習的アプローチ（Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting）</news:title>
   <news:publication_date>2026-08-26T19:43:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727573</loc>
  <lastmod>2026-08-26T19:42:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リアルタイムなインスタンスセグメンテーション手法YOLACT（YOLACT: Real-time Instance Segmentation）</news:title>
   <news:publication_date>2026-08-26T19:42:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727571</loc>
  <lastmod>2026-08-26T19:42:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Transformerベース言語表現モデルにおけるアテンションの可視化 (Visualizing Attention in Transformer-Based Language Representation Models)</news:title>
   <news:publication_date>2026-08-26T19:42:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727569</loc>
  <lastmod>2026-08-26T19:42:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>被験者クロスバリデーションが示す人体活動認識評価の落とし穴（Subject Cross Validation in Human Activity Recognition）</news:title>
   <news:publication_date>2026-08-26T19:42:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727567</loc>
  <lastmod>2026-08-26T19:42:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像からのハイライト除去における多クラス敵対的学習（Deep Multi-class Adversarial Specularity Removal）</news:title>
   <news:publication_date>2026-08-26T19:42:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727565</loc>
  <lastmod>2026-08-26T19:41:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>読み取り理解モデルが易しい例でも学習効果を示さない問題（Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples）</news:title>
   <news:publication_date>2026-08-26T19:41:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727563</loc>
  <lastmod>2026-08-26T19:41:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterのプロフィールと投稿画像が示すうつ・不安の指標（What Twitter Profile and Posted Images Reveal About Depression and Anxiety）</news:title>
   <news:publication_date>2026-08-26T19:41:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727561</loc>
  <lastmod>2026-08-26T18:50:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>転移学習のための取得関数のメタ学習（Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization）</news:title>
   <news:publication_date>2026-08-26T18:50:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727559</loc>
  <lastmod>2026-08-26T18:50:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双子型エンコーディングによる多段階自己教師付き整列（Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision）</news:title>
   <news:publication_date>2026-08-26T18:50:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727557</loc>
  <lastmod>2026-08-26T18:49:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>経験的ベイズ後悔最小化によるバンディット最適化の実務化（Empirical Bayes Regret Minimization）</news:title>
   <news:publication_date>2026-08-26T18:49:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727555</loc>
  <lastmod>2026-08-26T18:49:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>正常性を記憶して異常を検知する仕組み（Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection）</news:title>
   <news:publication_date>2026-08-26T18:49:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727553</loc>
  <lastmod>2026-08-26T18:49:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スケーラブルなベクター画像の学習表現（A Learned Representation for Scalable Vector Graphics）</news:title>
   <news:publication_date>2026-08-26T18:49:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727551</loc>
  <lastmod>2026-08-26T18:49:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続活動における学習行動の系列解析（Sequence Analysis of Learning Behavior in Different Consecutive Activities）</news:title>
   <news:publication_date>2026-08-26T18:49:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727549</loc>
  <lastmod>2026-08-26T18:48:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床精度の高い胸部X線レポート自動生成（Clinically Accurate Chest X-Ray Report Generation）</news:title>
   <news:publication_date>2026-08-26T18:48:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727547</loc>
  <lastmod>2026-08-26T17:57:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンドツーエンドの映像キャプショニング（End-to-End Video Captioning）</news:title>
   <news:publication_date>2026-08-26T17:57:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727545</loc>
  <lastmod>2026-08-26T17:57:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>信号対雑音比を距離指標にする深層距離学習（Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning）</news:title>
   <news:publication_date>2026-08-26T17:57:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727543</loc>
  <lastmod>2026-08-26T17:57:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>進化する自己学習ニューラルネットワーク（Evolving Self-Taught Neural Networks）</news:title>
   <news:publication_date>2026-08-26T17:57:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727541</loc>
  <lastmod>2026-08-26T17:57:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>振動系の動力学を再帰型ニューラルネットワークで推定する（Inferring the dynamics of oscillatory systems using recurrent neural networks）</news:title>
   <news:publication_date>2026-08-26T17:57:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727539</loc>
  <lastmod>2026-08-26T17:56:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間フォノニック結晶と異常なトポロジカルエッジ状態（Space-Time Phononic Crystals with Anomalous Topological Edge States）</news:title>
   <news:publication_date>2026-08-26T17:56:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727537</loc>
  <lastmod>2026-08-26T17:56:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模な種系統樹推定の実務的示唆（Large-scale Species Tree Estimation）</news:title>
   <news:publication_date>2026-08-26T17:56:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727535</loc>
  <lastmod>2026-08-26T17:55:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CADモデルの説明文と名称検出のためのテキスト分類コンポーネント（Text Classification Components for Detecting Descriptions and Names of CAD models）</news:title>
   <news:publication_date>2026-08-26T17:55:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727533</loc>
  <lastmod>2026-08-26T17:04:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈認識自己注意を用いた会話行為分類（Dialogue Act Classification with Context-Aware Self-Attention）</news:title>
   <news:publication_date>2026-08-26T17:04:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727531</loc>
  <lastmod>2026-08-26T17:04:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高温対応深在準位トランジェント分光システム（High-temperature deep-level transient spectroscopy system for defect studies in wide-bandgap semiconductors）</news:title>
   <news:publication_date>2026-08-26T17:04:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727529</loc>
  <lastmod>2026-08-26T17:04:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>代表領域を持つオンライン凸行列分解（Online Convex Matrix Factorization with Representative Regions）</news:title>
   <news:publication_date>2026-08-26T17:04:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727527</loc>
  <lastmod>2026-08-26T17:03:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドローンが映画監督になる日は来るか？（Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography）</news:title>
   <news:publication_date>2026-08-26T17:03:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727525</loc>
  <lastmod>2026-08-26T17:03:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>5Gにおけるハンドオーバー最適化を強化する強化学習（5G Handover using Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-26T17:03:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727523</loc>
  <lastmod>2026-08-26T17:03:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DNNシステムの性能モデルに対する転移学習の実用性（Transfer Learning for Performance Modeling of Deep Neural Network Systems）</news:title>
   <news:publication_date>2026-08-26T17:03:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727521</loc>
  <lastmod>2026-08-26T17:02:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeCaFAによる顔ランドマーク整列の統合的アプローチ（DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild）</news:title>
   <news:publication_date>2026-08-26T17:02:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727519</loc>
  <lastmod>2026-08-26T16:11:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語と脳のエンコーディング評価の堅牢化（Robust Evaluation of Language–Brain Encoding Experiments）</news:title>
   <news:publication_date>2026-08-26T16:11:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727517</loc>
  <lastmod>2026-08-26T16:11:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非整列ネットワークの異質集団におけるコミュニティ検出（Community Detection over a Heterogeneous Population of Non-Aligned Networks）</news:title>
   <news:publication_date>2026-08-26T16:11:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727515</loc>
  <lastmod>2026-08-26T16:11:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多目的最適化によるEEG分類への転移学習（A Many Objective Optimization Approach for Transfer Learning in EEG Classification）</news:title>
   <news:publication_date>2026-08-26T16:11:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727513</loc>
  <lastmod>2026-08-26T16:10:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フランス発・学校向けラーニングアナリティクスの実装戦略（Learning Analytics Made in France: The METAL project）</news:title>
   <news:publication_date>2026-08-26T16:10:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727511</loc>
  <lastmod>2026-08-26T16:09:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ダブルJPEG圧縮の改ざん検出に関する深層マルチスケール識別ネットワーク（Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics）</news:title>
   <news:publication_date>2026-08-26T16:09:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727509</loc>
  <lastmod>2026-08-26T16:09:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話的オープンエンド物体・アフォーダンス・把持学習（Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation）</news:title>
   <news:publication_date>2026-08-26T16:09:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727507</loc>
  <lastmod>2026-08-26T16:09:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的オートエンコーダを再考した教師なし単語翻訳（Revisiting Adversarial Autoencoder for Unsupervised Word Translation）</news:title>
   <news:publication_date>2026-08-26T16:09:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727505</loc>
  <lastmod>2026-08-26T15:17:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双方向k帰納法による反例学習で探索空間を半減する（Beyond k-induction: Learning from Counterexamples to Bidirectionally Explore the State Space）</news:title>
   <news:publication_date>2026-08-26T15:17:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727503</loc>
  <lastmod>2026-08-26T15:09:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SMURFF：高性能行列因子分解フレームワーク（SMURFF: a High-Performance Framework for Matrix Factorization）</news:title>
   <news:publication_date>2026-08-26T15:09:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727501</loc>
  <lastmod>2026-08-26T15:09:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定論的で計算可能なBernstein-von Mises定理（A deterministic and computable Bernstein-von Mises theorem）</news:title>
   <news:publication_date>2026-08-26T15:09:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727499</loc>
  <lastmod>2026-08-26T15:07:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文埋め込みの合成：統計的関係学習からの教訓 (Composition of Sentence Embeddings: Lessons from Statistical Relational Learning)</news:title>
   <news:publication_date>2026-08-26T15:07:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727497</loc>
  <lastmod>2026-08-26T15:07:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>予測モデルの事後説明の分類（A Categorisation of Post-hoc Explanations for Predictive Models）</news:title>
   <news:publication_date>2026-08-26T15:07:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727495</loc>
  <lastmod>2026-08-26T15:06:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子コンピュータ上での強化学習によるスピンハミルトニアン問題の自律解法（Neural network agent playing spin Hamiltonian games on a quantum computer）</news:title>
   <news:publication_date>2026-08-26T15:06:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727493</loc>
  <lastmod>2026-08-26T15:06:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二進数の算術を学ぶニューラル・チューリング・マシン（Learning Numeracy: Binary Arithmetic with Neural Turing Machines）</news:title>
   <news:publication_date>2026-08-26T15:06:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727491</loc>
  <lastmod>2026-08-26T14:15:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層共同スペクトル・空間特徴学習と能動転移学習による高分解能ハイパースペクトル画像分類（Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification）</news:title>
   <news:publication_date>2026-08-26T14:15:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727489</loc>
  <lastmod>2026-08-26T14:15:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ウェブから学ぶ視線推定の自己教師表現（Unsupervised Learning of Eye Gaze Representation from the Web）</news:title>
   <news:publication_date>2026-08-26T14:15:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727487</loc>
  <lastmod>2026-08-26T14:14:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込み回帰によるニューラル機械翻訳の正則化（ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems）</news:title>
   <news:publication_date>2026-08-26T14:14:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727485</loc>
  <lastmod>2026-08-26T14:13:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相関データに対する交差検証の補正（Cross-Validation for Correlated Data）</news:title>
   <news:publication_date>2026-08-26T14:13:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727483</loc>
  <lastmod>2026-08-26T14:13:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルウェア検出における機械学習と深層学習の現状（Malware Detection using Machine Learning and Deep Learning）</news:title>
   <news:publication_date>2026-08-26T14:13:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727481</loc>
  <lastmod>2026-08-26T14:13:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トリプレットに基づく深層ハッシュネットワークによるクロスモーダル検索（Triplet-Based Deep Hashing Network for Cross-Modal Retrieval）</news:title>
   <news:publication_date>2026-08-26T14:13:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727479</loc>
  <lastmod>2026-08-26T14:13:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数例ラベルからの脳セグメンテーション（Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks）</news:title>
   <news:publication_date>2026-08-26T14:13:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727477</loc>
  <lastmod>2026-08-26T13:21:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Resource Efficient 3D Convolutional Neural Networks（Resource Efficient 3D Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-08-26T13:21:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727475</loc>
  <lastmod>2026-08-26T13:21:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>離散特徴を扱うための効率的なGANベースのサイバー侵入検知手法（Efficient GAN-based method for cyber-intrusion detection）</news:title>
   <news:publication_date>2026-08-26T13:21:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727473</loc>
  <lastmod>2026-08-26T13:21:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>かき混ぜて学ぶ液体特性のオンライン推定（To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions）</news:title>
   <news:publication_date>2026-08-26T13:21:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727471</loc>
  <lastmod>2026-08-26T13:19:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極限的に限られた情報からの多孔質材料再構成（Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network）</news:title>
   <news:publication_date>2026-08-26T13:19:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727469</loc>
  <lastmod>2026-08-26T13:19:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパース連想記憶を用いた転移学習（Transfer Learning with Sparse Associative Memories）</news:title>
   <news:publication_date>2026-08-26T13:19:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727467</loc>
  <lastmod>2026-08-26T13:19:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヘイト・シンボルを解読する方法（Learning to Decipher Hate Symbols）</news:title>
   <news:publication_date>2026-08-26T13:19:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727465</loc>
  <lastmod>2026-08-26T13:19:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>White-to-Black による敵対的攻撃の効率的蒸留（White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks）</news:title>
   <news:publication_date>2026-08-26T13:19:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727463</loc>
  <lastmod>2026-08-26T12:27:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Riemannian Normalizing Flowを用いたWasserstein VAEによるテキストモデリング（Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling）</news:title>
   <news:publication_date>2026-08-26T12:27:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727461</loc>
  <lastmod>2026-08-26T12:27:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最少データで学ぶメタ学習のハイブリッド手法（A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning）</news:title>
   <news:publication_date>2026-08-26T12:27:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727459</loc>
  <lastmod>2026-08-26T12:26:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相互作用を考慮したマルチエージェント追跡と確率的行動予測（Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning）</news:title>
   <news:publication_date>2026-08-26T12:26:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727457</loc>
  <lastmod>2026-08-26T12:26:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>虚偽情報対策における解釈可能性の可能性（Open Issues in Combating Fake News: Interpretability as an Opportunity）</news:title>
   <news:publication_date>2026-08-26T12:26:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727455</loc>
  <lastmod>2026-08-26T12:26:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非ベイズ的社会学習と不完全な私的信号構造（Non-Bayesian Social Learning with Imperfect Private Signal Structure）</news:title>
   <news:publication_date>2026-08-26T12:26:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727453</loc>
  <lastmod>2026-08-26T12:26:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Point Cloud向け連続畳み込みの提案（ConvPoint: Continuous Convolutions for Point Cloud Processing）</news:title>
   <news:publication_date>2026-08-26T12:26:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727451</loc>
  <lastmod>2026-08-26T12:26:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>都市環境における伝搬損失予測のための人工ニューラルネットワーク（Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments）</news:title>
   <news:publication_date>2026-08-26T12:26:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727449</loc>
  <lastmod>2026-08-26T11:35:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間畳み込みニューラルネットワークによる映像物体分割（Spatiotemporal CNN for Video Object Segmentation）</news:title>
   <news:publication_date>2026-08-26T11:35:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727447</loc>
  <lastmod>2026-08-26T11:34:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン適応をロバスト学習として解く――現場で使える物体検出器の作り方（A Robust Learning Approach to Domain Adaptive Object Detection）</news:title>
   <news:publication_date>2026-08-26T11:34:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727445</loc>
  <lastmod>2026-08-26T11:34:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンプレートベースの自動探索で小型セグメンテーションを設計する（Template-Based Automatic Search of Compact Semantic Segmentation Architectures）</news:title>
   <news:publication_date>2026-08-26T11:34:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727443</loc>
  <lastmod>2026-08-26T11:33:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープ・バックプロジェクションネットワークによる単一画像超解像（Deep Back-Projection Networks for Single Image Super-resolution）</news:title>
   <news:publication_date>2026-08-26T11:33:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727441</loc>
  <lastmod>2026-08-26T11:33:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>参照語順のゆらぎを許容する微分可能サンプリング（Differentiable Sampling with Flexible Reference Word Order）</news:title>
   <news:publication_date>2026-08-26T11:33:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727439</loc>
  <lastmod>2026-08-26T11:33:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文書レベルのN項関係抽出における多重スケール表現学習（Document-Level N-ary Relation Extraction with Multiscale Representation Learning）</news:title>
   <news:publication_date>2026-08-26T11:33:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727437</loc>
  <lastmod>2026-08-26T11:33:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応重み付き学習で軽量化した単一画像超解像ネットワーク（Lightweight Image Super-Resolution with Adaptive Weighted Learning Network）</news:title>
   <news:publication_date>2026-08-26T11:33:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727435</loc>
  <lastmod>2026-08-26T10:41:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双言語単語埋め込みの密度整合（Density Matching for Bilingual Word Embedding）</news:title>
   <news:publication_date>2026-08-26T10:41:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727433</loc>
  <lastmod>2026-08-26T10:41:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Preference Neural Networkによるラベルランキングの再定義（Preference Neural Network）</news:title>
   <news:publication_date>2026-08-26T10:41:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727431</loc>
  <lastmod>2026-08-26T10:41:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的環境下における自律車のリスク上限付きオンライン軌道計画（Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments）</news:title>
   <news:publication_date>2026-08-26T10:41:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727429</loc>
  <lastmod>2026-08-26T10:40:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SUMMITによる深層学習の可視化と解釈の大規模化（SUMMIT: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations）</news:title>
   <news:publication_date>2026-08-26T10:40:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727427</loc>
  <lastmod>2026-08-26T10:40:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴ピラミッドによるハッシング（Feature Pyramid Hashing）</news:title>
   <news:publication_date>2026-08-26T10:40:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727425</loc>
  <lastmod>2026-08-26T10:40:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチビュー環境で「欠け」を補う表現学習の新手法（Multi-view Intact Space Learning）</news:title>
   <news:publication_date>2026-08-26T10:40:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727423</loc>
  <lastmod>2026-08-26T10:40:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一貫性に基づくゼロショット機械翻訳（Consistency by Agreement in Zero-shot Neural Machine Translation）</news:title>
   <news:publication_date>2026-08-26T10:40:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727421</loc>
  <lastmod>2026-08-26T09:49:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習済みInception-ResNetを用いた修正分布整合によるドメイン適応（Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet）</news:title>
   <news:publication_date>2026-08-26T09:49:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727419</loc>
  <lastmod>2026-08-26T09:48:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>要約生成をQA報酬で導く手法（Guiding Extractive Summarization with Question-Answering Rewards）</news:title>
   <news:publication_date>2026-08-26T09:48:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727417</loc>
  <lastmod>2026-08-26T09:48:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知環境で動く被写体を追うドローン撮影の自律化（Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments）</news:title>
   <news:publication_date>2026-08-26T09:48:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727415</loc>
  <lastmod>2026-08-26T09:47:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>木構造上で計算される関数について（ON FUNCTIONS COMPUTED ON TREES）</news:title>
   <news:publication_date>2026-08-26T09:47:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727413</loc>
  <lastmod>2026-08-26T09:47:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブグラフランキングと結合スコアによるシンプル質問応答（Simple Question Answering with Subgraph Ranking and Joint-Scoring）</news:title>
   <news:publication_date>2026-08-26T09:47:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727411</loc>
  <lastmod>2026-08-26T09:47:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般的活性化関数を持つニューラルネットワークの近似率（APPROXIMATION RATES FOR NEURAL NETWORKS WITH GENERAL ACTIVATION FUNCTIONS）</news:title>
   <news:publication_date>2026-08-26T09:47:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727409</loc>
  <lastmod>2026-08-26T09:47:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>入力変換による推論改善（Improved Inference via Deep Input Transfer）</news:title>
   <news:publication_date>2026-08-26T09:47:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727407</loc>
  <lastmod>2026-08-26T08:54:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>堅牢な深層ガウス過程（Robust Deep Gaussian Processes）</news:title>
   <news:publication_date>2026-08-26T08:54:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727405</loc>
  <lastmod>2026-08-26T08:54:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習不要・ワンショットで地理空間物体を検出する枠組み（A TRAINING-FREE, ONE-SHOT DETECTION FRAMEWORK FOR GEOSPATIAL OBJECTS IN REMOTE SENSING IMAGES）</news:title>
   <news:publication_date>2026-08-26T08:54:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727403</loc>
  <lastmod>2026-08-26T08:54:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラス不均衡を直接扱う特徴選択（Cost-Sensitive Feature Selection by Optimizing F-measures）</news:title>
   <news:publication_date>2026-08-26T08:54:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727401</loc>
  <lastmod>2026-08-26T08:53:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GAN2vecによるテキスト生成（Generative Adversarial Networks for text using word2vec intermediaries）</news:title>
   <news:publication_date>2026-08-26T08:53:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727399</loc>
  <lastmod>2026-08-26T08:53:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Gated-GANによる多コレクションスタイル転送の意義（Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer）</news:title>
   <news:publication_date>2026-08-26T08:53:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727397</loc>
  <lastmod>2026-08-26T08:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HoloDetect: 少数ショットでデータ誤りを見つける技術（HoloDetect: Few-Shot Learning for Error Detection）</news:title>
   <news:publication_date>2026-08-26T08:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727395</loc>
  <lastmod>2026-08-26T08:53:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Sivers効果に対する新しいアプローチ（New approach to the Sivers effect in the collinear twist-3 formalism）</news:title>
   <news:publication_date>2026-08-26T08:53:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727393</loc>
  <lastmod>2026-08-26T08:02:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二重注意型グラフ畳み込みネットワーク（DAGCN: Dual Attention Graph Convolutional Networks）</news:title>
   <news:publication_date>2026-08-26T08:02:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727391</loc>
  <lastmod>2026-08-26T08:02:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>線形およびカーネル分類器の訓練に対するサブリニア量子アルゴリズム（Sublinear quantum algorithms for training linear and kernel-based classifiers）</news:title>
   <news:publication_date>2026-08-26T08:02:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727389</loc>
  <lastmod>2026-08-26T08:01:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGB-D画像からの連続直接スパース視覚測程（Continuous Direct Sparse Visual Odometry from RGB-D Images）</news:title>
   <news:publication_date>2026-08-26T08:01:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727387</loc>
  <lastmod>2026-08-26T08:01:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込みの多クラス偏りを検出・除去する方法（Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings）</news:title>
   <news:publication_date>2026-08-26T08:01:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727385</loc>
  <lastmod>2026-08-26T08:00:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理法則を組み込むディープラーニング──4D地震データによる圧力・飽和度反転の事例（INCLUDING PHYSICS IN DEEP LEARNING – AN EXAMPLE FROM 4D SEISMIC PRESSURE SATURATION INVERSION）</news:title>
   <news:publication_date>2026-08-26T08:00:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727383</loc>
  <lastmod>2026-08-26T08:00:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>日本語の述語および事象名詞の格構造解析におけるマルチタスク学習（Multi-task Learning for Japanese Predicate Argument Structure Analysis）</news:title>
   <news:publication_date>2026-08-26T08:00:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727381</loc>
  <lastmod>2026-08-26T08:00:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を越えた学習：会話レベル特徴が比喩識別を改善する（Learning Outside the Box: Discourse-level Features Improve Metaphor Identification）</news:title>
   <news:publication_date>2026-08-26T08:00:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727379</loc>
  <lastmod>2026-08-26T07:08:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生体試料における定量ラマン分光の前処理最適化と機械学習（Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology）</news:title>
   <news:publication_date>2026-08-26T07:08:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727377</loc>
  <lastmod>2026-08-26T07:08:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパーボリック画像埋め込み（Hyperbolic Image Embeddings）</news:title>
   <news:publication_date>2026-08-26T07:08:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727375</loc>
  <lastmod>2026-08-26T07:08:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>熱赤外から可視スペクトルへの未対合変換（Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training）</news:title>
   <news:publication_date>2026-08-26T07:08:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727373</loc>
  <lastmod>2026-08-26T07:07:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>雑然とした環境での物理ベース把持学習（Learning Physics-Based Manipulation in Clutter）</news:title>
   <news:publication_date>2026-08-26T07:07:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727371</loc>
  <lastmod>2026-08-26T07:06:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>下流の分類タスクが文埋め込み評価に与える影響（The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings）</news:title>
   <news:publication_date>2026-08-26T07:06:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727369</loc>
  <lastmod>2026-08-26T07:06:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロバストなマルチエージェント反事実予測（Robust Multi-agent Counterfactual Prediction）</news:title>
   <news:publication_date>2026-08-26T07:06:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727367</loc>
  <lastmod>2026-08-26T07:06:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚的グラウンディングの再検討（Revisiting Visual Grounding）</news:title>
   <news:publication_date>2026-08-26T07:06:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727365</loc>
  <lastmod>2026-08-26T06:14:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DFANetによる高速語義セグメンテーションの実用化可能性（DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-26T06:14:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727363</loc>
  <lastmod>2026-08-26T06:14:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>温度時系列の分解を非負値行列因子分解で行う意義（Decomposing Temperature Time Series with Non-Negative Matrix Factorization）</news:title>
   <news:publication_date>2026-08-26T06:14:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727361</loc>
  <lastmod>2026-08-26T06:14:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ising Born Machineによる生成モデルの量子優位性の提示（The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine）</news:title>
   <news:publication_date>2026-08-26T06:14:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727359</loc>
  <lastmod>2026-08-26T06:13:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共有道路上の人間行動を学習し操る方法（The Green Choice: Learning and Influencing Human Decisions on Shared Roads）</news:title>
   <news:publication_date>2026-08-26T06:13:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727357</loc>
  <lastmod>2026-08-26T06:13:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大量多言語に対する敵対的音声認識の研究（Massively Multilingual Adversarial Speech Recognition）</news:title>
   <news:publication_date>2026-08-26T06:13:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727355</loc>
  <lastmod>2026-08-26T06:13:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師付き・自己符号化器・価値損失を共同で事前学習する手法（JOINTLY PRE-TRAINING WITH SUPERVISED, AUTOENCODER, AND VALUE LOSSES FOR DEEP REINFORCEMENT LEARNING）</news:title>
   <news:publication_date>2026-08-26T06:13:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727353</loc>
  <lastmod>2026-08-26T06:12:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>漸進的確率的2値化による深層ネットワークの効率化（Progressive Stochastic Binarization of Deep Networks）</news:title>
   <news:publication_date>2026-08-26T06:12:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727351</loc>
  <lastmod>2026-08-26T05:20:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を意識した画像間翻訳とドメイン転移（Semantics-Aware Image to Image Translation and Domain Transfer）</news:title>
   <news:publication_date>2026-08-26T05:20:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727349</loc>
  <lastmod>2026-08-26T05:20:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PaintBotによる自然画材のための強化学習アプローチ（PaintBot: A Reinforcement Learning Approach for Natural Media Painting）</news:title>
   <news:publication_date>2026-08-26T05:20:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727347</loc>
  <lastmod>2026-08-26T05:19:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D Bird’s-Eye-Viewによる点群のインスタンスセグメンテーション（3D Bird’s-Eye-View Instance Segmentation）</news:title>
   <news:publication_date>2026-08-26T05:19:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727345</loc>
  <lastmod>2026-08-26T05:19:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低深度光学ニューラルネットワーク（Low-Depth Optical Neural Networks）</news:title>
   <news:publication_date>2026-08-26T05:19:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727343</loc>
  <lastmod>2026-08-26T05:19:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテを使った医療機器監視（Medical device surveillance with electronic health records）</news:title>
   <news:publication_date>2026-08-26T05:19:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727341</loc>
  <lastmod>2026-08-26T05:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CloudCAMPによるクラウドサービス展開の自動化（CloudCAMP: Automating Cloud Services Deployment &amp;amp; Management）</news:title>
   <news:publication_date>2026-08-26T05:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727339</loc>
  <lastmod>2026-08-26T05:18:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルウェア検出におけるコンピュータビジョンの有効性・信頼性・回復力（Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions）</news:title>
   <news:publication_date>2026-08-26T05:18:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727337</loc>
  <lastmod>2026-08-26T04:27:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定ベースのクエリ効率化手法 HopSkipJumpAttack（HopSkipJumpAttack: A Query-Efficient Decision-Based Attack）</news:title>
   <news:publication_date>2026-08-26T04:27:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727335</loc>
  <lastmod>2026-08-26T04:27:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話的画像生成のための制約付きGAN（Constrained Generative Adversarial Networks for Interactive Image Generation）</news:title>
   <news:publication_date>2026-08-26T04:27:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727333</loc>
  <lastmod>2026-08-26T04:26:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし潜在木構造誘導と深層インサイド・アウトサイド再帰オートエンコーダ（Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders）</news:title>
   <news:publication_date>2026-08-26T04:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727331</loc>
  <lastmod>2026-08-26T04:26:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>権限で分けて精度を上げるAndroidマルウェア検知（Group-wise classification approach to improve Android malicious apps detection accuracy）</news:title>
   <news:publication_date>2026-08-26T04:26:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727329</loc>
  <lastmod>2026-08-26T04:25:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CMB偏光レンズと銀河弱視の相関の証拠（Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from Polarbear and Cosmic Shear from Subaru Hyper Suprime-Cam）</news:title>
   <news:publication_date>2026-08-26T04:25:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727327</loc>
  <lastmod>2026-08-26T04:25:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群の過分割を学習で解く――グラフ構造化深層距離学習による新アプローチ（Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning）</news:title>
   <news:publication_date>2026-08-26T04:25:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727325</loc>
  <lastmod>2026-08-26T04:25:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的勾配降下法に対する正規近似の非漸近収束率（Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT）</news:title>
   <news:publication_date>2026-08-26T04:25:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727323</loc>
  <lastmod>2026-08-26T03:34:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デイビス洞窟におけるガンマ線背景測定（Measurement of the Gamma Ray Background in the Davis Cavern at the Sanford Underground Research Facility）</news:title>
   <news:publication_date>2026-08-26T03:34:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727321</loc>
  <lastmod>2026-08-26T03:34:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>75言語を1モデルで解析する手法の要点（75 Languages, 1 Model: Parsing Universal Dependencies Universally）</news:title>
   <news:publication_date>2026-08-26T03:34:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727319</loc>
  <lastmod>2026-08-26T03:33:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療におけるメディカル・デコンファウンダー（The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records）</news:title>
   <news:publication_date>2026-08-26T03:33:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727317</loc>
  <lastmod>2026-08-26T03:32:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二つの突起ジェットを解釈可能に分類する深層学習（Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra）</news:title>
   <news:publication_date>2026-08-26T03:32:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727315</loc>
  <lastmod>2026-08-26T03:32:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>腹部Dixon MRIにおける脂肪組織セグメンテーションのための自動化深層学習パイプライン（FatSegNet: A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI）</news:title>
   <news:publication_date>2026-08-26T03:32:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727313</loc>
  <lastmod>2026-08-26T03:32:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電磁波サイドチャネル解析を使ったIoT機器の鑑識調査（Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices）</news:title>
   <news:publication_date>2026-08-26T03:32:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727311</loc>
  <lastmod>2026-08-26T03:32:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手術ビデオの自動整列（Automatic alignment of surgical videos using kinematic data）</news:title>
   <news:publication_date>2026-08-26T03:32:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727309</loc>
  <lastmod>2026-08-26T02:40:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最小体積トピックモデリング（Minimum Volume Topic Modeling）</news:title>
   <news:publication_date>2026-08-26T02:40:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727307</loc>
  <lastmod>2026-08-26T02:36:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数種のサブスペースを学習で扱う（Learning for Multi-Type Subspace Clustering）</news:title>
   <news:publication_date>2026-08-26T02:36:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727305</loc>
  <lastmod>2026-08-26T02:36:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterを使ったサイバー脅威可視化のストリーミング手法（Processing Tweets for Cybersecurity Threat Awareness）</news:title>
   <news:publication_date>2026-08-26T02:36:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727303</loc>
  <lastmod>2026-08-26T02:35:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>健康と親族関係が重要である（Health and Kinship Matter: Learning About Direct-To-Consumer Genetic Testing User Experiences via Online Discussions）</news:title>
   <news:publication_date>2026-08-26T02:35:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727301</loc>
  <lastmod>2026-08-26T02:34:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆型低増幅アバランシェ検出器の意義（Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications）</news:title>
   <news:publication_date>2026-08-26T02:34:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727299</loc>
  <lastmod>2026-08-26T02:34:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>希薄なTwitter空間における薬物乱用検出のためのアンサンブル深層学習モデル（An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere）</news:title>
   <news:publication_date>2026-08-26T02:34:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727297</loc>
  <lastmod>2026-08-26T02:34:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化変分推論：新たな事後分布設計のための三つの論点（Generalized Variational Inference: Three arguments for deriving new Posteriors）</news:title>
   <news:publication_date>2026-08-26T02:34:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727295</loc>
  <lastmod>2026-08-26T01:42:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルベース遺伝的プログラミングの改善と象徴回帰への応用（Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions）</news:title>
   <news:publication_date>2026-08-26T01:42:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727293</loc>
  <lastmod>2026-08-26T01:42:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内陸水域のクロロフィルa推定におけるハイパースペクトルと機械学習の組合せ（Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models）</news:title>
   <news:publication_date>2026-08-26T01:42:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727291</loc>
  <lastmod>2026-08-26T01:41:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンザフライ学習で原子スケールの希少事象を効率的に扱う（On-the-Fly Active Learning of Interpretable Bayesian Force Fields for Atomistic Rare Events）</news:title>
   <news:publication_date>2026-08-26T01:41:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727289</loc>
  <lastmod>2026-08-26T01:40:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>KGR10コーパスを用いたポーランド語単語埋め込みによる時間表現認識の評価（Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF）</news:title>
   <news:publication_date>2026-08-26T01:40:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727287</loc>
  <lastmod>2026-08-26T01:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機密を守る大規模近傍探索の実装（SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search）</news:title>
   <news:publication_date>2026-08-26T01:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727285</loc>
  <lastmod>2026-08-26T01:40:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OpBergによる因果文検出（OpBerg: Discovering causal sentences using optimal alignments）</news:title>
   <news:publication_date>2026-08-26T01:40:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727283</loc>
  <lastmod>2026-08-26T01:39:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カメラ内パラメータを考慮する単眼深度推定（CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth）</news:title>
   <news:publication_date>2026-08-26T01:39:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727281</loc>
  <lastmod>2026-08-26T00:48:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインで進化する特徴学習の新潮流 — STAMによる無監督逐次学習の提案（Unsupervised Progressive Learning and the STAM Architecture）</news:title>
   <news:publication_date>2026-08-26T00:48:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727279</loc>
  <lastmod>2026-08-26T00:47:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文書からの抽出と圧縮を同時に行う要約モデル（Jointly Extracting and Compressing Documents with Summary State Representations）</news:title>
   <news:publication_date>2026-08-26T00:47:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727277</loc>
  <lastmod>2026-08-26T00:47:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不変性が鍵となる人物再識別——ターゲット内変動を記憶するメモリの提案（Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification）</news:title>
   <news:publication_date>2026-08-26T00:47:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727275</loc>
  <lastmod>2026-08-26T00:46:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語内コードスイッチングのサブワード識別（Subword-Level Language Identification for Intra-Word Code-Switching）</news:title>
   <news:publication_date>2026-08-26T00:46:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727273</loc>
  <lastmod>2026-08-26T00:46:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星画像から得る深層ランドスケープ特徴による媒介性疾病予測の改善（Deep Landscape Features for Improving Vector-borne Disease Prediction）</news:title>
   <news:publication_date>2026-08-26T00:46:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727271</loc>
  <lastmod>2026-08-26T00:46:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>辺情報を取り込む確率的ブロックモデル（Stochastic Blockmodels with Edge Information）</news:title>
   <news:publication_date>2026-08-26T00:46:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727269</loc>
  <lastmod>2026-08-25T23:54:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HSTが解像したDDO 68に落ち込む小天体の星々（HST resolves stars in a tiny body falling on the dwarf galaxy DDO 68）</news:title>
   <news:publication_date>2026-08-25T23:54:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727267</loc>
  <lastmod>2026-08-25T23:53:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高コントラスト高強度フェムト秒レーザーパルスとシリコン標的の相互作用における強い逆向き衝撃波の生成 (Generation of a strong reverse shock wave in the interaction of a high-contrast high-intensity femtosecond laser pulse with a silicon target)</news:title>
   <news:publication_date>2026-08-25T23:53:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727265</loc>
  <lastmod>2026-08-25T23:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一つのニューロンで十分だった：アフタースホック予測における深層学習の過剰性（One neuron is more informative than a deep neural network for aftershock pattern forecasting）</news:title>
   <news:publication_date>2026-08-25T23:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727263</loc>
  <lastmod>2026-08-25T23:53:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>D2-Cityに学ぶ実走行ダッシュカム動画データセット（D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios）</news:title>
   <news:publication_date>2026-08-25T23:53:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727261</loc>
  <lastmod>2026-08-25T23:53:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Rep the Set: 集合表現を学習するニューラルネットワーク（Rep the Set: Neural Networks for Learning Set Representations）</news:title>
   <news:publication_date>2026-08-25T23:53:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727259</loc>
  <lastmod>2026-08-25T23:52:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文字領域認識に基づくシーンテキスト検出（Character Region Awareness for Text Detection）</news:title>
   <news:publication_date>2026-08-25T23:52:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727257</loc>
  <lastmod>2026-08-25T23:52:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>常識推論のための教師なし深層構造意味モデル（Unsupervised Deep Structured Semantic Models for Commonsense Reasoning）</news:title>
   <news:publication_date>2026-08-25T23:52:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727255</loc>
  <lastmod>2026-08-25T23:01:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビッグデータと深層学習の時代における不確実性下の最適化（Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming）</news:title>
   <news:publication_date>2026-08-25T23:01:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727253</loc>
  <lastmod>2026-08-25T23:01:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>産業4.0における入力変数範囲の決定（Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range）</news:title>
   <news:publication_date>2026-08-25T23:01:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727251</loc>
  <lastmod>2026-08-25T23:01:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生波形からのエンドツーエンド二耳定位（End-to-End Binaural Sound Localisation from the Raw Waveform）</news:title>
   <news:publication_date>2026-08-25T23:01:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727249</loc>
  <lastmod>2026-08-25T23:00:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シーンテキスト認識研究の比較はどこが問題か（What Is Wrong With Scene Text Recognition Model Comparisons?）</news:title>
   <news:publication_date>2026-08-25T23:00:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727247</loc>
  <lastmod>2026-08-25T23:00:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈可能で制御可能な顔の再演（Interpretable and Controllable Face Reenactment Using GANs）</news:title>
   <news:publication_date>2026-08-25T23:00:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727245</loc>
  <lastmod>2026-08-25T23:00:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トラッキングを超えて：Deep Visual Odometryのためのメモリ選択と姿勢改善（Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry）</news:title>
   <news:publication_date>2026-08-25T23:00:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727243</loc>
  <lastmod>2026-08-25T23:00:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層ラベルを活かすセマンティック双線形プーリング（Semantic Bilinear Pooling for Fine-Grained Recognition）</news:title>
   <news:publication_date>2026-08-25T23:00:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727241</loc>
  <lastmod>2026-08-25T22:08:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模コード学習の語彙設計（Modeling Vocabulary for Big Code Machine Learning）</news:title>
   <news:publication_date>2026-08-25T22:08:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727239</loc>
  <lastmod>2026-08-25T22:08:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単調ゲームにおけるナッシュ均衡の学習（Learning Nash Equilibria in Monotone Games）</news:title>
   <news:publication_date>2026-08-25T22:08:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727237</loc>
  <lastmod>2026-08-25T22:08:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>幾何認識を取り入れた対称的ドメイン適応による単眼深度推定（Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation）</news:title>
   <news:publication_date>2026-08-25T22:08:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727235</loc>
  <lastmod>2026-08-25T22:07:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的ミラーディセントの確率解釈とリスク感受性最適性 (A Stochastic Interpretation of Stochastic Mirror Descent: Risk-Sensitive Optimality)</news:title>
   <news:publication_date>2026-08-25T22:07:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727233</loc>
  <lastmod>2026-08-25T22:07:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴蒸留の包括的再設計（A Comprehensive Overhaul of Feature Distillation）</news:title>
   <news:publication_date>2026-08-25T22:07:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727231</loc>
  <lastmod>2026-08-25T22:07:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一デモから学ぶ接触重視タスクの自己評価学習（Self-Evaluation in One-Shot Learning from Demonstration of Contact-Intensive Task）</news:title>
   <news:publication_date>2026-08-25T22:07:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727229</loc>
  <lastmod>2026-08-25T22:06:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時変因果ネットワークのオンライン同定（Online Topology Identification from Vector Autoregressive Time Series）</news:title>
   <news:publication_date>2026-08-25T22:06:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727227</loc>
  <lastmod>2026-08-25T21:15:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルスライシングによる弾力的推論コスト下での複雑解析支援（Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints）</news:title>
   <news:publication_date>2026-08-25T21:15:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727225</loc>
  <lastmod>2026-08-25T21:15:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人物検索のためのコンテキストグラフ学習（Learning Context Graph for Person Search）</news:title>
   <news:publication_date>2026-08-25T21:15:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727223</loc>
  <lastmod>2026-08-25T21:14:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし深層トラッキング（Unsupervised Deep Tracking）</news:title>
   <news:publication_date>2026-08-25T21:14:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727221</loc>
  <lastmod>2026-08-25T21:14:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フーリエ位相回復における拡張サポート推定を用いた深層ニューラルネットワーク（Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network）</news:title>
   <news:publication_date>2026-08-25T21:14:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727219</loc>
  <lastmod>2026-08-25T21:13:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転不変性を備えた深層ニューラルネットの近似と学習（Deep Neural Networks for Rotation-Invariance Approximation and Learning）</news:title>
   <news:publication_date>2026-08-25T21:13:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727217</loc>
  <lastmod>2026-08-25T21:13:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体認識に基づくセマンティック対応の学習（SFNet: Learning Object-aware Semantic Correspondence）</news:title>
   <news:publication_date>2026-08-25T21:13:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727215</loc>
  <lastmod>2026-08-25T21:13:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クロスリンガル転移学習による音声言語理解の効率化（CROSS-LINGUAL TRANSFER LEARNING FOR SPOKEN LANGUAGE UNDERSTANDING）</news:title>
   <news:publication_date>2026-08-25T21:13:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727213</loc>
  <lastmod>2026-08-25T20:22:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>予算内での深層強化学習：3D制御と推論をスパコンなしで（Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer）</news:title>
   <news:publication_date>2026-08-25T20:22:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727211</loc>
  <lastmod>2026-08-25T20:20:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>埋め込み空間での相関を用いた知識蒸留（Correlation Congruence for Knowledge Distillation）</news:title>
   <news:publication_date>2026-08-25T20:20:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727209</loc>
  <lastmod>2026-08-25T20:20:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人の嗜好を考慮した公正性（Preference-Informed Fairness）</news:title>
   <news:publication_date>2026-08-25T20:20:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727207</loc>
  <lastmod>2026-08-25T20:20:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MAVNet：マイクロ無人機向けセマンティックセグメンテーションの軽量ネットワーク（MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks）</news:title>
   <news:publication_date>2026-08-25T20:20:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727205</loc>
  <lastmod>2026-08-25T20:19:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NECにランダム射影を組み込む意味（Random Projection in Neural Episodic Control）</news:title>
   <news:publication_date>2026-08-25T20:19:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727203</loc>
  <lastmod>2026-08-25T19:27:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Soft Rasterizerによる画像ベースの3D推論（Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning）</news:title>
   <news:publication_date>2026-08-25T19:27:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727201</loc>
  <lastmod>2026-08-25T19:27:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付き敵対的生成フローによる制御可能な画像合成（Conditional Adversarial Generative Flow for Controllable Image Synthesis）</news:title>
   <news:publication_date>2026-08-25T19:27:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727199</loc>
  <lastmod>2026-08-25T19:26:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中国語の語用誤り検出におけるマルチタスク学習の実務的意義（Multi-task Learning for Chinese Word Usage Errors Detection）</news:title>
   <news:publication_date>2026-08-25T19:26:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727197</loc>
  <lastmod>2026-08-25T19:26:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少量データからの高品質画像生成（Image Generation From Small Datasets via Batch Statistics Adaptation）</news:title>
   <news:publication_date>2026-08-25T19:26:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727195</loc>
  <lastmod>2026-08-25T19:26:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>広告の感情認識と計算広告への応用（Recognition of Advertisement Emotions with Application to Computational Advertising）</news:title>
   <news:publication_date>2026-08-25T19:26:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727193</loc>
  <lastmod>2026-08-25T19:26:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層マルチセット相関解析によるマルチモーダル表現学習（MULTIMODAL REPRESENTATION LEARNING USING DEEP MULTISET CANONICAL CORRELATION ANALYSIS）</news:title>
   <news:publication_date>2026-08-25T19:26:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727191</loc>
  <lastmod>2026-08-25T18:34:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ターゲット認識を意識した深層追跡（Target-Aware Deep Tracking）</news:title>
   <news:publication_date>2026-08-25T18:34:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727189</loc>
  <lastmod>2026-08-25T18:33:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>M2KDによる漸進学習の改良（M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation）</news:title>
   <news:publication_date>2026-08-25T18:33:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727187</loc>
  <lastmod>2026-08-25T18:33:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像と言語を同時に学ぶVideoBERTの衝撃（VideoBERT: A Joint Model for Video and Language Representation Learning）</news:title>
   <news:publication_date>2026-08-25T18:33:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727185</loc>
  <lastmod>2026-08-25T18:32:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リーマン運動方策によるニューラル自律航行（Neural Autonomous Navigation with Riemannian Motion Policy）</news:title>
   <news:publication_date>2026-08-25T18:32:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727183</loc>
  <lastmod>2026-08-25T18:32:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バッチ化された多腕バンディット問題（Batched Multi-armed Bandits Problem）</news:title>
   <news:publication_date>2026-08-25T18:32:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727181</loc>
  <lastmod>2026-08-25T18:32:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で原子単位の量子コンピュータ配列を特定する（Atomic-level Characterisation of Quantum Computer Arrays by Machine Learning）</news:title>
   <news:publication_date>2026-08-25T18:32:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727179</loc>
  <lastmod>2026-08-25T18:32:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クロスエントロピー敵対的ビュー適応による人物再識別（Cross-Entropy Adversarial View Adaptation for Person Re-identification）</news:title>
   <news:publication_date>2026-08-25T18:32:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727177</loc>
  <lastmod>2026-08-25T17:40:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Styler: Checkstyle違反を学習で自動修正する手法（Styler: learning formatting conventions to repair Checkstyle violations）</news:title>
   <news:publication_date>2026-08-25T17:40:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727175</loc>
  <lastmod>2026-08-25T17:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインk-PCAの指数収束を示したMatrix Krasulina（Exponentially convergent stochastic k-PCA without variance reduction）</news:title>
   <news:publication_date>2026-08-25T17:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727173</loc>
  <lastmod>2026-08-25T17:40:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク間の関係性を同時に学ぶ新しいマルチタスク学習（On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning）</news:title>
   <news:publication_date>2026-08-25T17:40:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727171</loc>
  <lastmod>2026-08-25T17:40:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SADIH: セマンティック認識型離散ハッシング（SADIH: Semantic-Aware DIscrete Hashing）</news:title>
   <news:publication_date>2026-08-25T17:40:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727169</loc>
  <lastmod>2026-08-25T17:40:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイルECにおける短い商品タイトル生成のためのマルチモーダル生成敵対ネットワーク（Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce）</news:title>
   <news:publication_date>2026-08-25T17:40:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727167</loc>
  <lastmod>2026-08-25T17:39:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己組織化型マルチエージェントシステムの検証法（Testing Self-Organizing Multiagent Systems）</news:title>
   <news:publication_date>2026-08-25T17:39:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727165</loc>
  <lastmod>2026-08-25T17:39:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔写真の「使える度」を数値化するFaceQnet（FaceQnet: Quality Assessment for Face Recognition based on Deep Learning）</news:title>
   <news:publication_date>2026-08-25T17:39:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727163</loc>
  <lastmod>2026-08-25T16:48:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>StratumによるMLワークフロー運用の自動化（Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks）</news:title>
   <news:publication_date>2026-08-25T16:48:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727152</loc>
  <lastmod>2026-08-25T16:38:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リストワイズ監視を用いた深層ポリシーハッシングネットワーク（Deep Policy Hashing Network with Listwise Supervision）</news:title>
   <news:publication_date>2026-08-25T16:38:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727150</loc>
  <lastmod>2026-08-25T16:37:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>法務文書レビューにおけるテキスト分類の深層学習に関する実証研究 (Empirical Study of Deep Learning for Text Classification in Legal Document Review)</news:title>
   <news:publication_date>2026-08-25T16:37:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727148</loc>
  <lastmod>2026-08-25T16:37:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特権文書レビューにおける機械学習とキーワード検索の比較（An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters）</news:title>
   <news:publication_date>2026-08-25T16:37:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727146</loc>
  <lastmod>2026-08-25T16:37:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>法的文書レビューにおける能動学習戦略の実証的評価 (Empirical Evaluations of Active Learning Strategies in Legal Document Review)</news:title>
   <news:publication_date>2026-08-25T16:37:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727144</loc>
  <lastmod>2026-08-25T16:36:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プログラム自動修復における位置特定と修復の同時学習（NEURAL PROGRAM REPAIR BY JOINTLY LEARNING TO LOCALIZE AND REPAIR）</news:title>
   <news:publication_date>2026-08-25T16:36:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727142</loc>
  <lastmod>2026-08-25T16:36:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前処理設定が予測コーディングの成果を左右する（Empirical Evaluations of Preprocessing Parameters’ Impact on Predictive Coding’s Effectiveness）</news:title>
   <news:publication_date>2026-08-25T16:36:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727140</loc>
  <lastmod>2026-08-25T15:45:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境変化下で自律学習する可塑性の進化（Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions）</news:title>
   <news:publication_date>2026-08-25T15:45:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727138</loc>
  <lastmod>2026-08-25T15:36:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DATA Labによる物理実験教育の再設計（Design, Analysis, Tools, and Apprenticeship (DATA) Lab）</news:title>
   <news:publication_date>2026-08-25T15:36:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727136</loc>
  <lastmod>2026-08-25T15:35:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の力学と構成則を学習するPhysics-Informedニューラルネットワークの比較研究 (A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations)</news:title>
   <news:publication_date>2026-08-25T15:35:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727134</loc>
  <lastmod>2026-08-25T15:34:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合信号ニューラルネットワークのノイズ耐性向上（Improving Noise Tolerance of Mixed-Signal Neural Networks）</news:title>
   <news:publication_date>2026-08-25T15:34:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727132</loc>
  <lastmod>2026-08-25T15:34:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D点対応の深層登録を同時に解く3DRegNet（3DRegNet: A Deep Neural Network for 3D Point Registration）</news:title>
   <news:publication_date>2026-08-25T15:34:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727130</loc>
  <lastmod>2026-08-25T15:33:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GPU向け畳み込みニューラルネットワークのメモリ挙動を正確に予測するモデル（DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis）</news:title>
   <news:publication_date>2026-08-25T15:33:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727128</loc>
  <lastmod>2026-08-25T15:33:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチグリッド予測フィルタフローによる教師なし動画学習（Multigrid Predictive Filter Flow for Unsupervised Learning on Videos）</news:title>
   <news:publication_date>2026-08-25T15:33:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727126</loc>
  <lastmod>2026-08-25T14:42:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地下区間でのスマートフォン位置推定（SubwayPS: Towards Smartphone Positioning in Underground Public Transportation Systems）</news:title>
   <news:publication_date>2026-08-25T14:42:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727124</loc>
  <lastmod>2026-08-25T14:34:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>キャリブレーション測定の見直し（Measuring Calibration in Deep Learning）</news:title>
   <news:publication_date>2026-08-25T14:34:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727122</loc>
  <lastmod>2026-08-25T14:34:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張ニューラル常微分方程式（Augmented Neural ODEs）</news:title>
   <news:publication_date>2026-08-25T14:34:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727120</loc>
  <lastmod>2026-08-25T14:34:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼3D物体検出と形状再構築の統合（Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction）</news:title>
   <news:publication_date>2026-08-25T14:34:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727118</loc>
  <lastmod>2026-08-25T14:32:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>うつ病の言語的・非言語的信号を統合して推定する手法（The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level）</news:title>
   <news:publication_date>2026-08-25T14:32:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727116</loc>
  <lastmod>2026-08-25T14:32:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mizarを加速する学習による節（clause）誘導（Hammering Mizar by Learning Clause Guidance）</news:title>
   <news:publication_date>2026-08-25T14:32:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727114</loc>
  <lastmod>2026-08-25T14:32:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラウタム正則化による半教師付き転移学習（Lautum Regularization for Semi-supervised Transfer Learning）</news:title>
   <news:publication_date>2026-08-25T14:32:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727112</loc>
  <lastmod>2026-08-25T13:41:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無病胸部X線を安全にふるい分ける深層転移学習（Identifying disease-free chest X-ray images with deep transfer learning）</news:title>
   <news:publication_date>2026-08-25T13:41:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727110</loc>
  <lastmod>2026-08-25T13:31:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行動駆動型弱教師あり物体検出（Activity Driven Weakly Supervised Object Detection）</news:title>
   <news:publication_date>2026-08-25T13:31:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727108</loc>
  <lastmod>2026-08-25T13:30:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MVX-Net: マルチモーダルVoxelNetによる3D物体検出の先駆け（MVX-Net: Multimodal VoxelNet for 3D Object Detection）</news:title>
   <news:publication_date>2026-08-25T13:30:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727106</loc>
  <lastmod>2026-08-25T13:30:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ジャンプ回帰の逐次適応設計（Sequential Adaptive Design for Jump Regression Estimation）</news:title>
   <news:publication_date>2026-08-25T13:30:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727104</loc>
  <lastmod>2026-08-25T13:30:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医用画像におけるドメイン適応と一般化の強力なベースライン（A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging）</news:title>
   <news:publication_date>2026-08-25T13:30:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727102</loc>
  <lastmod>2026-08-25T13:29:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種ゲノムデータから臨床転帰を学習する（Learning Clinical Outcomes from Heterogeneous Genomic Data Sources）</news:title>
   <news:publication_date>2026-08-25T13:29:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727100</loc>
  <lastmod>2026-08-25T13:29:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>主観的構成要素の回帰ラベル生成におけるトリプレット埋め込み（Generating Labels for Regression of Subjective Constructs using Triplet Embeddings）</news:title>
   <news:publication_date>2026-08-25T13:29:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727098</loc>
  <lastmod>2026-08-25T12:38:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注釈（アノテーション）効率を高める画像間変換による半教師ありセグメンテーション（Towards annotation-efficient segmentation via image-to-image translation）</news:title>
   <news:publication_date>2026-08-25T12:38:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727096</loc>
  <lastmod>2026-08-25T12:38:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>System Level Synthesis（System Level Synthesis）</news:title>
   <news:publication_date>2026-08-25T12:38:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727094</loc>
  <lastmod>2026-08-25T12:38:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>吸収線変動と連続光変化の関係：イオン化変化が駆動するBAL準星の吸収線変動（Ionization driven intrinsic absorption line variability of BAL quasars in the Stripe 82 region）</news:title>
   <news:publication_date>2026-08-25T12:38:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727092</loc>
  <lastmod>2026-08-25T12:37:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>100万時間の音声データで学んだこと（LESSONS FROM BUILDING ACOUSTIC MODELS WITH A MILLION HOURS OF SPEECH）</news:title>
   <news:publication_date>2026-08-25T12:37:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727090</loc>
  <lastmod>2026-08-25T12:37:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意深い模倣による単語埋め込みの改善（Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts）</news:title>
   <news:publication_date>2026-08-25T12:37:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727088</loc>
  <lastmod>2026-08-25T12:36:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原子スケール表現とテンソル性質の統計学習（Atomic-scale representation and statistical learning of tensorial properties）</news:title>
   <news:publication_date>2026-08-25T12:36:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727086</loc>
  <lastmod>2026-08-25T12:36:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人体部位学習に向けたモデルフリー歩容認識（TOWARDS HUMAN BODY-PART LEARNING FOR MODEL-FREE GAIT RECOGNITION）</news:title>
   <news:publication_date>2026-08-25T12:36:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727084</loc>
  <lastmod>2026-08-25T11:45:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高赤方偏移銀河の存在量予測とファジィ暗黒物質の検証（Predictions for the Abundance of High-redshift Galaxies in a Fuzzy Dark Matter Universe）</news:title>
   <news:publication_date>2026-08-25T11:45:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727082</loc>
  <lastmod>2026-08-25T11:44:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成-識別補完学習（Generative-Discriminative Complementary Learning）</news:title>
   <news:publication_date>2026-08-25T11:44:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727080</loc>
  <lastmod>2026-08-25T11:44:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パルケス観測による銀河のH I質量関数の洞察（The H I mass function in the Parkes H I Zone of Avoidance survey）</news:title>
   <news:publication_date>2026-08-25T11:44:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727078</loc>
  <lastmod>2026-08-25T11:43:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原始技能の学習と一般化――堅牢な二腕マニピュレーションに向けて（Learning and Generalisation of Primitive Skills: Towards Robust Dual-arm Manipulation）</news:title>
   <news:publication_date>2026-08-25T11:43:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727076</loc>
  <lastmod>2026-08-25T11:43:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>α星Aの中心核の性質：金属量組成が及ぼす影響（On the nature of the core of α Centauri A: the impact of the metallicity mixture）</news:title>
   <news:publication_date>2026-08-25T11:43:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727074</loc>
  <lastmod>2026-08-25T11:43:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム配線ニューラルネットワークの画像認識への応用（Exploring Randomly Wired Neural Networks for Image Recognition）</news:title>
   <news:publication_date>2026-08-25T11:43:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727072</loc>
  <lastmod>2026-08-25T11:42:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習した分子表現による性質予測の解析（Analyzing Learned Molecular Representations for Property Prediction）</news:title>
   <news:publication_date>2026-08-25T11:42:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727070</loc>
  <lastmod>2026-08-25T10:51:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル論理ネットワークによる学習アルゴリズム（Learning Algorithms via Neural Logic Networks）</news:title>
   <news:publication_date>2026-08-25T10:51:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727068</loc>
  <lastmod>2026-08-25T10:42:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルモデルの数学的推論能力の分析（Analysing Mathematical Reasoning Abilities of Neural Models）</news:title>
   <news:publication_date>2026-08-25T10:42:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727066</loc>
  <lastmod>2026-08-25T10:42:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク侵入検知のための能動学習（Active Learning for Network Intrusion Detection）</news:title>
   <news:publication_date>2026-08-25T10:42:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727064</loc>
  <lastmod>2026-08-25T10:41:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Weisfeiler-Lemanの高次表現をスケーラブルにする手法（Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings）</news:title>
   <news:publication_date>2026-08-25T10:41:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727062</loc>
  <lastmod>2026-08-25T10:41:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小規模データ向けのエンドツーエンド視覚音声認識（End-to-End Visual Speech Recognition for Small-Scale Datasets）</news:title>
   <news:publication_date>2026-08-25T10:41:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727060</loc>
  <lastmod>2026-08-25T10:41:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声のノイズ除去を変えるパラメトリック再合成（SPEECH DENOISING BY PARAMETRIC RESYNTHESIS）</news:title>
   <news:publication_date>2026-08-25T10:41:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727058</loc>
  <lastmod>2026-08-25T10:40:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語誘発EEGデータの理解：ファインチューンした言語モデルで予測する（Understanding language-elicited EEG data by predicting it from a fine-tuned language model）</news:title>
   <news:publication_date>2026-08-25T10:40:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727056</loc>
  <lastmod>2026-08-25T09:49:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非凸目的関数に対する確率的勾配降下法の収束速度（Convergence rates for the stochastic gradient descent method for non-convex objective functions）</news:title>
   <news:publication_date>2026-08-25T09:49:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727054</loc>
  <lastmod>2026-08-25T09:48:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動によるパラメータ化偏微分方程式の近似（Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks）</news:title>
   <news:publication_date>2026-08-25T09:48:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727052</loc>
  <lastmod>2026-08-25T09:48:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FEAFA: 顔表情分析と3D顔アニメーションのための高精度注釈データセット（FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation）</news:title>
   <news:publication_date>2026-08-25T09:48:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727050</loc>
  <lastmod>2026-08-25T09:47:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Synthetic Learner による時系列処置効果の推定（Synthetic learner: Model-Free Inference on Treatments over Time）</news:title>
   <news:publication_date>2026-08-25T09:47:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727048</loc>
  <lastmod>2026-08-25T09:47:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動による意味空間導出の有効性（Effectiveness of Data-Driven Induction of Semantic Spaces）</news:title>
   <news:publication_date>2026-08-25T09:47:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727046</loc>
  <lastmod>2026-08-25T09:46:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガイド付き超解像をピクセル対ピクセル変換として考える（Guided Super-Resolution as Pixel-to-Pixel Transformation）</news:title>
   <news:publication_date>2026-08-25T09:46:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727044</loc>
  <lastmod>2026-08-25T09:46:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語ベクトル空間の概念可視化（Neural Vector Conceptualization for Word Vector Space Interpretation）</news:title>
   <news:publication_date>2026-08-25T09:46:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727042</loc>
  <lastmod>2026-08-25T08:54:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>定量位相顕微鏡によるがん細胞の空間署名（Quantitative Phase Microscopy Spatial Signatures of Cancer Cells）</news:title>
   <news:publication_date>2026-08-25T08:54:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727040</loc>
  <lastmod>2026-08-25T08:46:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で位相転移を解き明かす（Unveiling phase transitions with machine learning）</news:title>
   <news:publication_date>2026-08-25T08:46:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727038</loc>
  <lastmod>2026-08-25T08:45:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストからリアルな画像を作るための意味分離（Semantics Disentangling for Text-to-Image Generation）</news:title>
   <news:publication_date>2026-08-25T08:45:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727036</loc>
  <lastmod>2026-08-25T08:45:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザー応答予測のための操作認識ニューラルネットワーク（Operation-aware Neural Networks for User Response Prediction）</news:title>
   <news:publication_date>2026-08-25T08:45:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727034</loc>
  <lastmod>2026-08-25T08:44:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BCMA-ES IIの再検討（BCMA-ES II: revisiting Bayesian CMA-ES）</news:title>
   <news:publication_date>2026-08-25T08:44:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727032</loc>
  <lastmod>2026-08-25T08:44:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク指向チャネル状態情報の量子化（Task Oriented Channel State Information Quantization）</news:title>
   <news:publication_date>2026-08-25T08:44:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727030</loc>
  <lastmod>2026-08-25T08:43:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈依存ニューラル原形復元のための訓練データ拡張（Training Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text）</news:title>
   <news:publication_date>2026-08-25T08:43:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727028</loc>
  <lastmod>2026-08-25T07:52:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆引き辞書のための多義語ベクトル埋め込みの活用（Using Multi-Sense Vector Embeddings for Reverse Dictionaries）</news:title>
   <news:publication_date>2026-08-25T07:52:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727026</loc>
  <lastmod>2026-08-25T07:51:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチアームド・バンディットの実務応用サーベイ（A Survey on Practical Applications of Multi-Armed and Contextual Bandits）</news:title>
   <news:publication_date>2026-08-25T07:51:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727024</loc>
  <lastmod>2026-08-25T07:51:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非剛体点群整合の学習的アプローチ（Non-Rigid Point Set Registration Networks）</news:title>
   <news:publication_date>2026-08-25T07:51:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727022</loc>
  <lastmod>2026-08-25T07:50:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈と属性に基づく密なキャプショニング（Context and Attribute Grounded Dense Captioning）</news:title>
   <news:publication_date>2026-08-25T07:50:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727020</loc>
  <lastmod>2026-08-25T07:50:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インスタンス・属性・カテゴリの協調埋め込みによる画像検索（Cooperative Embeddings for Instance, Attribute and Category Retrieval）</news:title>
   <news:publication_date>2026-08-25T07:50:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727018</loc>
  <lastmod>2026-08-25T07:50:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BCMA-ESのベイズ的再解釈が示す最適化戦略の本質（BCMA-ES: A Bayesian approach to CMA-ES）</news:title>
   <news:publication_date>2026-08-25T07:50:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727016</loc>
  <lastmod>2026-08-25T07:49:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遠縁の楕円銀河で起きたType II超新星の謎（SN 2016hil – A TYPE II SUPERNOVA IN THE REMOTE OUTSKIRTS OF AN ELLIPTICAL HOST AND ITS ORIGIN）</news:title>
   <news:publication_date>2026-08-25T07:49:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727014</loc>
  <lastmod>2026-08-25T06:58:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークの活性化空間の幾何構造（On Geometric Structure of Activation Spaces in Neural Networks）</news:title>
   <news:publication_date>2026-08-25T06:58:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727012</loc>
  <lastmod>2026-08-25T06:58:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>橋梁コンクリート欠陥のためのメタ学習によるCNN設計（Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the CODEBRIM Dataset）</news:title>
   <news:publication_date>2026-08-25T06:58:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727010</loc>
  <lastmod>2026-08-25T06:58:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチレベル空間プーリング特徴による美的評価の高精度化（Effective Aesthetics Prediction with Multi-level Spatially Pooled Features）</news:title>
   <news:publication_date>2026-08-25T06:58:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727008</loc>
  <lastmod>2026-08-25T06:56:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベリングを越えて：クラスタリングでマルウェアファミリーのネットワーク行動プロファイルを構築する（Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families）</news:title>
   <news:publication_date>2026-08-25T06:56:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727006</loc>
  <lastmod>2026-08-25T06:56:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ResNetがなぜ効くのか（Why ResNet Works? Residuals Generalize）</news:title>
   <news:publication_date>2026-08-25T06:56:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727004</loc>
  <lastmod>2026-08-25T06:56:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン内構造を活用した容易な転移学習（EASY TRANSFER LEARNING BY EXPLOITING INTRA-DOMAIN STRUCTURES）</news:title>
   <news:publication_date>2026-08-25T06:56:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727002</loc>
  <lastmod>2026-08-25T06:56:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>赤方偏移z≈4星形成銀河の紫外線スペクトル傾斜βと恒星集団（The UV spectral slope beta and stellar population of most active star-forming galaxies at z∼4）</news:title>
   <news:publication_date>2026-08-25T06:56:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727000</loc>
  <lastmod>2026-08-25T06:04:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしニューラルマスクビームフォーミングの訓練（Unsupervised training of neural mask-based beamforming）</news:title>
   <news:publication_date>2026-08-25T06:04:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726998</loc>
  <lastmod>2026-08-25T06:04:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像文脈でテキスト内部の表現を助ける手法（Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition）</news:title>
   <news:publication_date>2026-08-25T06:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726996</loc>
  <lastmod>2026-08-25T06:04:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジを残す画像平滑化のベンチマーク（A Benchmark for Edge-Preserving Image Smoothing）</news:title>
   <news:publication_date>2026-08-25T06:04:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726994</loc>
  <lastmod>2026-08-25T06:03:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベル情報を活かしたクラスベースのドメイン適応手法（Looking back at Labels: A Class based Domain Adaptation Technique）</news:title>
   <news:publication_date>2026-08-25T06:03:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726992</loc>
  <lastmod>2026-08-25T06:03:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴選択とアンサンブル分類器に基づく効率的侵入検知システムの構築（Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier）</news:title>
   <news:publication_date>2026-08-25T06:03:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726990</loc>
  <lastmod>2026-08-25T06:03:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ホログラフィック・インフレーションの提案（Holographic Inflation）</news:title>
   <news:publication_date>2026-08-25T06:03:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726988</loc>
  <lastmod>2026-08-25T06:03:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河団のSZEスケーリングとIa型超新星による距離双対性検証（Galaxy cluster Sunyaev-Zel&amp;#039;dovich effect scaling-relation and type Ia supernova observations as a test for the cosmic distance duality relation）</news:title>
   <news:publication_date>2026-08-25T06:03:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726986</loc>
  <lastmod>2026-08-25T05:12:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>層ごとの相関を用いたニューラルネットワークの不確実性評価（Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-25T05:12:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726984</loc>
  <lastmod>2026-08-25T05:11:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点注釈のみで群衆内の検出とカウントを同時に行う手法（Point in, Box out: Beyond Counting Persons in Crowds）</news:title>
   <news:publication_date>2026-08-25T05:11:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726982</loc>
  <lastmod>2026-08-25T05:11:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無監視人物再識別のための条件付き敵対的ネットワーク（CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-Identification）</news:title>
   <news:publication_date>2026-08-25T05:11:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726980</loc>
  <lastmod>2026-08-25T05:10:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HoloGANが切り拓く「2D画像からの3D理解」の自動化（HoloGAN: Unsupervised Learning of 3D Representations From Natural Images）</news:title>
   <news:publication_date>2026-08-25T05:10:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726978</loc>
  <lastmod>2026-08-25T05:10:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークを用いた変分強化サンプリング（NEURAL NETWORKS BASED VARIATIONALLY ENHANCED SAMPLING）</news:title>
   <news:publication_date>2026-08-25T05:10:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726976</loc>
  <lastmod>2026-08-25T05:10:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼画像からの3次元姿勢推定を生成と序列で解く（Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking）</news:title>
   <news:publication_date>2026-08-25T05:10:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726974</loc>
  <lastmod>2026-08-25T04:18:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実用的に情報量を高めるテキスト生成（Pragmatically Informative Text Generation）</news:title>
   <news:publication_date>2026-08-25T04:18:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726972</loc>
  <lastmod>2026-08-25T04:18:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>球状閉じ込めH+2の基底状態と励起状態の振る舞い（Spherically confined H+2: 2Σ+g and 2Σ+u states）</news:title>
   <news:publication_date>2026-08-25T04:18:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726970</loc>
  <lastmod>2026-08-25T04:18:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フィードバック駆動の布ストリップ折り畳み（Feedback-based Fabric Strip Folding）</news:title>
   <news:publication_date>2026-08-25T04:18:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726968</loc>
  <lastmod>2026-08-25T04:17:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスター環境における厚いディスクの起源（The Fornax 3D project: Thick disks in a cluster environment）</news:title>
   <news:publication_date>2026-08-25T04:17:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726966</loc>
  <lastmod>2026-08-25T04:17:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オープンセット話者識別における識別型ニューラルネットワークの検証（Experiments on Open-Set Speaker Identification with Discriminatively Trained Neural Networks）</news:title>
   <news:publication_date>2026-08-25T04:17:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726964</loc>
  <lastmod>2026-08-25T04:17:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PCA風オートエンコーダ（A PCA-LIKE AUTOENCODER）</news:title>
   <news:publication_date>2026-08-25T04:17:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726962</loc>
  <lastmod>2026-08-25T04:17:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Reinforcement Learningによるパーティショニングアドバイザの学習（Learning a Partitioning Advisor with Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-25T04:17:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726960</loc>
  <lastmod>2026-08-25T03:25:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層メトリック学習に基づくハッシュネットワークによるリモートセンシング画像検索（Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images）</news:title>
   <news:publication_date>2026-08-25T03:25:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726958</loc>
  <lastmod>2026-08-25T03:25:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心線深度に基づく強化学習による左心耳開口部局在化（Centerline Depth World for Reinforcement Learning-based Left Atrial Appendage Orifice Localization）</news:title>
   <news:publication_date>2026-08-25T03:25:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726956</loc>
  <lastmod>2026-08-25T03:24:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>協調型セルラーUAVインターネットの協力技術（Cooperation Techniques for A Cellular Internet of Unmanned Aerial Vehicles）</news:title>
   <news:publication_date>2026-08-25T03:24:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726954</loc>
  <lastmod>2026-08-25T03:23:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DNS-Morph：TorのためのUDPベースのブートストラッププロトコル（DNS-Morph: UDP-Based Bootstrapping Protocol For Tor）</news:title>
   <news:publication_date>2026-08-25T03:23:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726952</loc>
  <lastmod>2026-08-25T03:23:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層サリエンシーモデルに対する敵対的攻撃（Adversarial Attacks against Deep Saliency Models）</news:title>
   <news:publication_date>2026-08-25T03:23:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726950</loc>
  <lastmod>2026-08-25T03:23:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BPPart と BPMax：塩基対カウントモデルによるRNA-RNA相互作用の分割関数と構造予測 (BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model)</news:title>
   <news:publication_date>2026-08-25T03:23:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726948</loc>
  <lastmod>2026-08-25T03:23:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エントロピーサーチで最適化するエネルギーベースのスイングアップ制御（Enhancement of Energy-Based Swing-Up Controller via Entropy Search）</news:title>
   <news:publication_date>2026-08-25T03:23:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726946</loc>
  <lastmod>2026-08-25T02:31:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GC-MSピーク整列を深層学習で自動化する手法（Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning）</news:title>
   <news:publication_date>2026-08-25T02:31:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726944</loc>
  <lastmod>2026-08-25T02:31:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>境界上に生成して異常を見抜くアプローチ（Fence GAN: Towards Better Anomaly Detection）</news:title>
   <news:publication_date>2026-08-25T02:31:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726942</loc>
  <lastmod>2026-08-25T02:30:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個別化化学療法スケジューリングの数値比較（Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies）</news:title>
   <news:publication_date>2026-08-25T02:30:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726940</loc>
  <lastmod>2026-08-25T02:30:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラス条件付きオートエンコーダによるオープンセット認識（C2AE: Class Conditioned Auto-Encoder for Open-set Recognition）</news:title>
   <news:publication_date>2026-08-25T02:30:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726938</loc>
  <lastmod>2026-08-25T02:30:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散学習における通信削減のためのネスト付きディザ量子化（Nested Dithered Quantization for Communication Reduction in Distributed Training）</news:title>
   <news:publication_date>2026-08-25T02:30:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726936</loc>
  <lastmod>2026-08-25T02:29:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>12誘導心電図の自動診断に向けた深層ニューラルネットワークの実装（Automatic diagnosis of the 12-lead ECG using a deep neural network）</news:title>
   <news:publication_date>2026-08-25T02:29:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726934</loc>
  <lastmod>2026-08-25T02:29:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>期待モデルによる計画（Planning with Expectation Models）</news:title>
   <news:publication_date>2026-08-25T02:29:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726932</loc>
  <lastmod>2026-08-25T01:38:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を手がかりにした骨格ベース行動認識（Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition）</news:title>
   <news:publication_date>2026-08-25T01:38:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726930</loc>
  <lastmod>2026-08-25T01:37:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANにおけるリプシッツ連続性の効率的かつ無偏な実装に向けて（Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs）</news:title>
   <news:publication_date>2026-08-25T01:37:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726928</loc>
  <lastmod>2026-08-25T01:37:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データがなくても学べる学生ネットワークの作り方（Data-Free Learning of Student Networks）</news:title>
   <news:publication_date>2026-08-25T01:37:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726926</loc>
  <lastmod>2026-08-25T01:37:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語推論の最新動向（Recent Advances in Natural Language Inference: A Survey）</news:title>
   <news:publication_date>2026-08-25T01:37:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726924</loc>
  <lastmod>2026-08-25T01:36:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AIに照明推定を学習させる手法（DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality）</news:title>
   <news:publication_date>2026-08-25T01:36:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726922</loc>
  <lastmod>2026-08-25T01:36:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートホームの安全アクセスにおける人物識別と可視要約（Person Identification with Visual Summary for a Safe Access to a Smart Home）</news:title>
   <news:publication_date>2026-08-25T01:36:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726920</loc>
  <lastmod>2026-08-25T01:36:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理空間の位相構造に対する操作主義的アプローチ（Operational approach to the topological structure of the physical space）</news:title>
   <news:publication_date>2026-08-25T01:36:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726918</loc>
  <lastmod>2026-08-25T00:44:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Barista：効率的でスケーラブルなサーバーレス深層学習予測提供システム（BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services）</news:title>
   <news:publication_date>2026-08-25T00:44:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726916</loc>
  <lastmod>2026-08-25T00:44:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アディティブ製造部品向け2.5D深層学習MBIRによるX線CT再構成（X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR）</news:title>
   <news:publication_date>2026-08-25T00:44:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726914</loc>
  <lastmod>2026-08-25T00:43:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Curls &amp;amp; Wheyによるブラックボックス敵対的攻撃の改良（Curls &amp;amp; Whey: Boosting Black-Box Adversarial Attacks）</news:title>
   <news:publication_date>2026-08-25T00:43:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726912</loc>
  <lastmod>2026-08-25T00:43:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的サブスペース降下法（Stochastic Subspace Descent）</news:title>
   <news:publication_date>2026-08-25T00:43:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726910</loc>
  <lastmod>2026-08-25T00:43:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Contrastive Predictive Codingに基づく話者認証特徴量（Contrastive Predictive Coding Based Feature for Automatic Speaker Verification）</news:title>
   <news:publication_date>2026-08-25T00:43:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726908</loc>
  <lastmod>2026-08-25T00:43:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スムースな積分布の混合モデル学習（Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm）</news:title>
   <news:publication_date>2026-08-25T00:43:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726906</loc>
  <lastmod>2026-08-25T00:42:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>帯域割当モデルの認知的管理と事例ベース推論（Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning – Evidences Towards Dynamic BAM Reconfiguration）</news:title>
   <news:publication_date>2026-08-25T00:42:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726904</loc>
  <lastmod>2026-08-24T23:51:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少ない実演で学べる模倣学習の切り札：Generative Predecessor Models（GPRIL）（Generative Predecessor Models for Sample-Efficient Imitation Learning）</news:title>
   <news:publication_date>2026-08-24T23:51:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726902</loc>
  <lastmod>2026-08-24T23:50:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル構造予測における近似推論手法のベンチマーク（Benchmarking Approximate Inference Methods for Neural Structured Prediction）</news:title>
   <news:publication_date>2026-08-24T23:50:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726900</loc>
  <lastmod>2026-08-24T23:50:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模かつ異種混在の修復可能システムに対する信頼性解析手法の統合（Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment）</news:title>
   <news:publication_date>2026-08-24T23:50:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726898</loc>
  <lastmod>2026-08-24T23:49:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ScriptNet: 静的解析に基づく悪性JavaScript検出（ScriptNet: Neural Static Analysis for Malicious JavaScript Detection）</news:title>
   <news:publication_date>2026-08-24T23:49:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726896</loc>
  <lastmod>2026-08-24T23:49:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>余剰変数がRNNの臨床予測性能に与える影響（The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks）</news:title>
   <news:publication_date>2026-08-24T23:49:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726894</loc>
  <lastmod>2026-08-24T23:49:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterを用いたサイバー脅威検出の深層学習（Cyberthreat Detection from Twitter using Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-24T23:49:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726892</loc>
  <lastmod>2026-08-24T23:49:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HYPE: 人間の目で評価する生成モデルの基準（HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models）</news:title>
   <news:publication_date>2026-08-24T23:49:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726890</loc>
  <lastmod>2026-08-24T22:57:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ASSERT: Squeeze‑ExcitationとResidualネットワークによる音声なりすまし検出（ASSERT: Anti‑Spoofing with Squeeze‑Excitation and Residual neTworks）</news:title>
   <news:publication_date>2026-08-24T22:57:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726888</loc>
  <lastmod>2026-08-24T22:56:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>並列磁気共鳴画像再構成における深層学習の到達点（Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction）</news:title>
   <news:publication_date>2026-08-24T22:56:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726886</loc>
  <lastmod>2026-08-24T22:56:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープ・インダストリアル・エスピオナージ（Deep Industrial Espionage）</news:title>
   <news:publication_date>2026-08-24T22:56:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726884</loc>
  <lastmod>2026-08-24T22:56:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ全体を数値化して比較する技術の革新（Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity）</news:title>
   <news:publication_date>2026-08-24T22:56:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726882</loc>
  <lastmod>2026-08-24T22:56:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物性指向埋め込みによる材料探索の枠組み（Property-aimed embedding: a machine learning framework for material discovery）</news:title>
   <news:publication_date>2026-08-24T22:56:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726880</loc>
  <lastmod>2026-08-24T22:55:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>創造性に着想を得たゼロショット学習（Creativity Inspired Zero-Shot Learning）</news:title>
   <news:publication_date>2026-08-24T22:55:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726878</loc>
  <lastmod>2026-08-24T22:55:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指紋の固定長表現 — 深層ネットワークとドメイン知識による革新 (Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge)</news:title>
   <news:publication_date>2026-08-24T22:55:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726876</loc>
  <lastmod>2026-08-24T22:04:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中性子スキンが示す核物質方程式と中性子星への示唆（Neutron skins as laboratory constraints on properties of neutron stars and on what we can learn from heavy ion fragmentation reactions）</news:title>
   <news:publication_date>2026-08-24T22:04:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726874</loc>
  <lastmod>2026-08-24T21:56:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>記号的回帰による高速で汎用的な多体間相互作用ポテンシャルの発見（Fast, accurate, and transferable many-body interatomic potentials by symbolic regression）</news:title>
   <news:publication_date>2026-08-24T21:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726872</loc>
  <lastmod>2026-08-24T21:56:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層フェノタイピングの方法論と知識抽象化（Digging Deeper: Methodologies for High-Content Phenotyping and Knowledge-Abstraction in C. elegans）</news:title>
   <news:publication_date>2026-08-24T21:56:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726870</loc>
  <lastmod>2026-08-24T21:56:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2次元ラジアルcine MRIに対する時空間スライス学習によるアンダーサンプリングアーチファクト低減（Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Training Data）</news:title>
   <news:publication_date>2026-08-24T21:56:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726868</loc>
  <lastmod>2026-08-24T21:55:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長期の視覚的自己位置推定のためのマッチング可能な画像変換の学習（Learning Matchable Image Transformations for Long-term Metric Visual Localization）</news:title>
   <news:publication_date>2026-08-24T21:55:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726866</loc>
  <lastmod>2026-08-24T21:55:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepCloudによるデータ駆動生成デザイン（DeepCloud）</news:title>
   <news:publication_date>2026-08-24T21:55:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726864</loc>
  <lastmod>2026-08-24T21:54:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転の確率的回帰とクォータニオン平均を用いた深層マルチヘッドネットワーク（Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network）</news:title>
   <news:publication_date>2026-08-24T21:54:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726862</loc>
  <lastmod>2026-08-24T21:03:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BIRADS特徴を組み込んだ半教師あり深層学習による乳房超音波診断の実用化展望（BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis）</news:title>
   <news:publication_date>2026-08-24T21:03:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726860</loc>
  <lastmod>2026-08-24T21:03:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多モーダルスパース分類器による思春期脳年齢推定（Multimodal Sparse Classifier for Adolescent Brain Age Prediction）</news:title>
   <news:publication_date>2026-08-24T21:03:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726858</loc>
  <lastmod>2026-08-24T21:02:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知遷移モデル下の決定的MDPにおける効率的かつ安全な探索（Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models）</news:title>
   <news:publication_date>2026-08-24T21:02:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726856</loc>
  <lastmod>2026-08-24T21:01:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適な情報隠蔽機構を機械学習で設計する（Optimal Obfuscation Mechanisms via Machine Learning）</news:title>
   <news:publication_date>2026-08-24T21:01:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726854</loc>
  <lastmod>2026-08-24T21:01:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的最適処置配分（Dynamically Optimal Treatment Allocation）</news:title>
   <news:publication_date>2026-08-24T21:01:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726852</loc>
  <lastmod>2026-08-24T21:01:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Updates-Leak: オンライン学習におけるデータ漏洩攻撃の実態（Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning）</news:title>
   <news:publication_date>2026-08-24T21:01:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726850</loc>
  <lastmod>2026-08-24T21:01:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン・オフライン実験による方策探索のベイズ最適化（Bayesian Optimization for Policy Search via Online-Offline Experimentation）</news:title>
   <news:publication_date>2026-08-24T21:01:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726848</loc>
  <lastmod>2026-08-24T20:09:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチタスク・ソフトオプション学習（Multitask Soft Option Learning）</news:title>
   <news:publication_date>2026-08-24T20:09:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726846</loc>
  <lastmod>2026-08-24T20:09:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Equivariant Multi-View Networks（Equivariant Multi-View Networks）</news:title>
   <news:publication_date>2026-08-24T20:09:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726844</loc>
  <lastmod>2026-08-24T20:08:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索停止を学習する手法とその意義（Learning to Stop in Structured Prediction for Neural Machine Translation）</news:title>
   <news:publication_date>2026-08-24T20:08:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726842</loc>
  <lastmod>2026-08-24T20:07:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>領域的同質性による防御モデル転倒を狙う攻撃（Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses）</news:title>
   <news:publication_date>2026-08-24T20:07:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726840</loc>
  <lastmod>2026-08-24T20:07:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模バッチ最適化による高速BERT学習（Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes）</news:title>
   <news:publication_date>2026-08-24T20:07:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726838</loc>
  <lastmod>2026-08-24T20:07:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterにおける感情分析の分散表現アプローチ（Twitter Sentiment Analysis using Distributed Word and Sentence Representation）</news:title>
   <news:publication_date>2026-08-24T20:07:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726836</loc>
  <lastmod>2026-08-24T20:07:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遺伝的に進化させたガウスカーネルによる感情分析（SENTIMENT ANALYSIS WITH GENETICALLY EVOLVED GAUSSIAN KERNELS）</news:title>
   <news:publication_date>2026-08-24T20:07:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726834</loc>
  <lastmod>2026-08-24T19:15:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>導かれたメタ・ポリシー探索（Guided Meta-Policy Search）</news:title>
   <news:publication_date>2026-08-24T19:15:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726832</loc>
  <lastmod>2026-08-24T19:15:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット自己監督による物体セグメンテーション（Robot-Supervised Learning for Object Segmentation）</news:title>
   <news:publication_date>2026-08-24T19:15:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726830</loc>
  <lastmod>2026-08-24T19:14:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートビルディングにおける機械学習とビッグデータの活用（Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey）</news:title>
   <news:publication_date>2026-08-24T19:14:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726828</loc>
  <lastmod>2026-08-24T19:13:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LUTNetが示すFPGAソフトロジック再考（LUTNet: Rethinking Inference in FPGA Soft Logic）</news:title>
   <news:publication_date>2026-08-24T19:13:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726826</loc>
  <lastmod>2026-08-24T19:13:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習による肺炎の早期診断 (Early Diagnosis of Pneumonia with Deep Learning)</news:title>
   <news:publication_date>2026-08-24T19:13:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726824</loc>
  <lastmod>2026-08-24T19:13:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像中のバイアス信号を制御する方法（Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning）</news:title>
   <news:publication_date>2026-08-24T19:13:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726822</loc>
  <lastmod>2026-08-24T19:13:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散メトロポリスサンプラーと最適並列性（Distributed Metropolis Sampler with Optimal Parallelism）</news:title>
   <news:publication_date>2026-08-24T19:13:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726820</loc>
  <lastmod>2026-08-24T18:21:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SAS画像セグメンテーションにおける可能性主義的手法の比較（Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation）</news:title>
   <news:publication_date>2026-08-24T18:21:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726818</loc>
  <lastmod>2026-08-24T18:21:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コードスタイル自動修正ツールの実務的意義（STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms）</news:title>
   <news:publication_date>2026-08-24T18:21:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726816</loc>
  <lastmod>2026-08-24T18:20:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>略語の文脈解読を完全自動化する手法（Unsupervised Abbreviation Disambiguation）</news:title>
   <news:publication_date>2026-08-24T18:20:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726814</loc>
  <lastmod>2026-08-24T18:20:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット視覚のための軽量マルチタスク指標の提案（The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots）</news:title>
   <news:publication_date>2026-08-24T18:20:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726812</loc>
  <lastmod>2026-08-24T18:20:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D 深層学習の頑健性（Robustness of 3D Deep Learning in an Adversarial Setting）</news:title>
   <news:publication_date>2026-08-24T18:20:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726810</loc>
  <lastmod>2026-08-24T18:19:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>球面上のU-Netが脳表面解析を変える（Spherical U-Net on Cortical Surfaces: Methods and Applications）</news:title>
   <news:publication_date>2026-08-24T18:19:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726808</loc>
  <lastmod>2026-08-24T18:19:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波ブラインドスティックによる自立支援（Ultrasonic Blind Stick For Completely Blind People To Avoid Any Kind Of Obstacles）</news:title>
   <news:publication_date>2026-08-24T18:19:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726806</loc>
  <lastmod>2026-08-24T17:27:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>表面科学と触媒における原子スケール機械学習の実装（An Atomistic Machine Learning Package for Surface Science and Catalysis）</news:title>
   <news:publication_date>2026-08-24T17:27:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726804</loc>
  <lastmod>2026-08-24T17:27:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Key.Netによる特徴点検出の再考（Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters）</news:title>
   <news:publication_date>2026-08-24T17:27:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726802</loc>
  <lastmod>2026-08-24T17:26:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中間特徴空間を制限することで実現する敵対的防御（Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-24T17:26:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726800</loc>
  <lastmod>2026-08-24T17:25:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意義に応じた情報ボトルネックによるドメイン適応セマンティックセグメンテーション（Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-24T17:25:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726798</loc>
  <lastmod>2026-08-24T17:25:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的残差粗視化（Adversarial-Residual-Coarse-Graining）</news:title>
   <news:publication_date>2026-08-24T17:25:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726796</loc>
  <lastmod>2026-08-24T17:25:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Tree Search Networkによるスパース回帰の革新（Tree Search Network for Sparse Regression）</news:title>
   <news:publication_date>2026-08-24T17:25:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726794</loc>
  <lastmod>2026-08-24T17:25:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フィルタの非線形集約による画像ノイズ除去の改善（Non-linear aggregation of filters to improve image denoising）</news:title>
   <news:publication_date>2026-08-24T17:25:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726792</loc>
  <lastmod>2026-08-24T16:33:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習を組み込む安全クリティカルシステムの工学的課題（Engineering problems in machine learning systems）</news:title>
   <news:publication_date>2026-08-24T16:33:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726790</loc>
  <lastmod>2026-08-24T16:33:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DefectNetによる不均衡データ上の多クラス欠陥検出（DEFECTNET: MULTI-CLASS FAULT DETECTION ON HIGHLY-IMBALANCED DATASETS）</news:title>
   <news:publication_date>2026-08-24T16:33:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726788</loc>
  <lastmod>2026-08-24T16:32:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>密集領域における精密検出の手法（Precise Detection in Densely Packed Scenes）</news:title>
   <news:publication_date>2026-08-24T16:32:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726786</loc>
  <lastmod>2026-08-24T16:31:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>果物認識のための畳み込みニューラルネットワークによる分類器の実装（Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm）</news:title>
   <news:publication_date>2026-08-24T16:31:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726784</loc>
  <lastmod>2026-08-24T16:31:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>話者不均衡な音声コーパスを用いたマルチスピーカニューラル音声合成の学習 (Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora)</news:title>
   <news:publication_date>2026-08-24T16:31:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726782</loc>
  <lastmod>2026-08-24T16:31:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>COCO TSによる実画像注釈生成で変わるシーンテキスト分割（COCO TS Dataset: Pixel–level Annotations Based on Weak Supervision for Scene Text Segmentation）</news:title>
   <news:publication_date>2026-08-24T16:31:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726780</loc>
  <lastmod>2026-08-24T16:31:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深度認識型ビデオフレーム補間（Depth-Aware Video Frame Interpolation）</news:title>
   <news:publication_date>2026-08-24T16:31:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726778</loc>
  <lastmod>2026-08-24T15:39:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を持つエッジで追う単眼カメラ位置推定（Semantic Nearest Neighbor Fields for Monocular Edge Visual-Odometry）</news:title>
   <news:publication_date>2026-08-24T15:39:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726776</loc>
  <lastmod>2026-08-24T15:39:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TG-PSMによるトラフィック変形と追跡防止（Tunable Greedy Packet Sequence Morphing Based on Trace Clustering）</news:title>
   <news:publication_date>2026-08-24T15:39:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726774</loc>
  <lastmod>2026-08-24T15:38:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANをGANで学習する試み（GAN You Do the GAN GAN?）</news:title>
   <news:publication_date>2026-08-24T15:38:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726772</loc>
  <lastmod>2026-08-24T15:38:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テレコムにおける顧客解約予測（Customer churn prediction in telecom using machine learning in big data platform）</news:title>
   <news:publication_date>2026-08-24T15:38:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726770</loc>
  <lastmod>2026-08-24T15:38:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラウドと機械を組み合わせた多項目スクリーニング（Combining Crowd and Machines for Multi-predicate Item Screening）</news:title>
   <news:publication_date>2026-08-24T15:38:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726768</loc>
  <lastmod>2026-08-24T15:38:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>JSIS3Dによる3D点群の意味・個体同時分割（JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds）</news:title>
   <news:publication_date>2026-08-24T15:38:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726766</loc>
  <lastmod>2026-08-24T15:37:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム化多チャネルによる敵対的攻撃耐性の強化（Defending against adversarial attacks by randomized diversification）</news:title>
   <news:publication_date>2026-08-24T15:37:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
</urlset>
