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   <news:title>Deep Cytometry：セルソーティングとフローサイトメトリーにおけるリアルタイム推論を伴う深層学習（Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry）</news:title>
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   <news:title>完全条件カーネル化スティーン差異（Kernelized Complete Conditional Stein Discrepancies）</news:title>
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   <news:title>SPM-Trackerに学ぶ実践的な物体追跡の勘所（SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking）</news:title>
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   <news:title>特徴生成CNNが変えたCTR予測の実務的含意（Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction）</news:title>
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  <lastmod>2026-08-28T21:55:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>具現化された視覚認識の探求（Embodied Visual Recognition）</news:title>
   <news:publication_date>2026-08-28T21:55:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728339</loc>
  <lastmod>2026-08-28T21:53:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を使った能動学習によるイベント認識の継続学習フレームワーク（Context-Aware Query Selection for Active Learning in Event Recognition）</news:title>
   <news:publication_date>2026-08-28T21:53:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728337</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低x領域における縦構造関数FLの抽出手法（Extracting the longitudinal structure function FL(x, Q2) at small x from a Froissart-bounded parametrization of F2(x, Q2))</news:title>
   <news:publication_date>2026-08-28T21:53:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/728335</loc>
  <lastmod>2026-08-28T21:52:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>集合、数、その他数学的対象の構成要素（The Constituents of Sets, Numbers, and Other Mathematical Objects）</news:title>
   <news:publication_date>2026-08-28T21:52:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728333</loc>
  <lastmod>2026-08-28T21:51:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワークで「解けない問題」を学習する仕組み（Learning the undecidable from networked systems）</news:title>
   <news:publication_date>2026-08-28T21:51:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728331</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T21:51:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728329</loc>
  <lastmod>2026-08-28T21:51:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフからバンドを発見する手法（Discovering Bands from Graphs）</news:title>
   <news:publication_date>2026-08-28T21:51:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728327</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的時間畳み込みネットワークによる動的推薦システム（Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems）</news:title>
   <news:publication_date>2026-08-28T20:59:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728325</loc>
  <lastmod>2026-08-28T20:59:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LED通信におけるELMを用いた非線形補償の非反復・反復手法（Extreme Learning Machine Based Non-Iterative and Iterative Nonlinearity Mitigation for LED Communications）</news:title>
   <news:publication_date>2026-08-28T20:59:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SLAMにおける属性パターン学習（Learning Attribute Patterns in SLAMs）</news:title>
   <news:publication_date>2026-08-28T20:58:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T20:58:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>容易な正例探索が生む柔軟な埋め込み空間（Improved Embeddings with Easy Positive Triplet Mining）</news:title>
   <news:publication_date>2026-08-28T20:58:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728319</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビット表現波形による音声分類（Audio Classification of Bit-Representation Waveform）</news:title>
   <news:publication_date>2026-08-28T20:57:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>協調走行車両による舵角制御のためのCNN＋LSTM活用（Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T20:57:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>想像音声の認識に向けた階層的深層学習（Towards Imagined Speech Recognition With Hierarchical Deep Learning）</news:title>
   <news:publication_date>2026-08-28T20:57:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>能動的思考からの音韻カテゴリ化のためのEEGマニフォールドの深層学習（DEEP LEARNING THE EEG MANIFOLD FOR PHONOLOGICAL CATEGORIZATION FROM ACTIVE THOUGHTS）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T20:06:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像QAを変える異種メモリ付きマルチモーダル注意機構（Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering）</news:title>
   <news:publication_date>2026-08-28T20:06:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-28T20:06:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多数決ベースのアンサンブル最適化と資源制約（Optimizing Majority Voting Based Systems）</news:title>
   <news:publication_date>2026-08-28T20:06:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解剖学的ランドマークの関係推論ネットワーク（Relational Reasoning Network for Anatomical Landmarking）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EEGからの想起音声デコードを階層的に学ぶ手法（Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728301</loc>
  <lastmod>2026-08-28T20:04:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチUAV対応MECにおけるRLベースのユーザ割当と資源配分（RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC）</news:title>
   <news:publication_date>2026-08-28T20:04:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728299</loc>
  <lastmod>2026-08-28T19:12:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>G-softmaxによる特徴の緻密化と分離の改善（G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features）</news:title>
   <news:publication_date>2026-08-28T19:12:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728297</loc>
  <lastmod>2026-08-28T19:04:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ショット学習のための埋め込み集約とメタレベルドロップアウト（L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728295</loc>
  <lastmod>2026-08-28T19:04:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>転移学習に対するターゲット非依存攻撃（A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-28T19:04:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T19:04:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728291</loc>
  <lastmod>2026-08-28T19:03:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Handyモデルの簡略化と社会ダイナミクスの再考（Simplified Handy Models）</news:title>
   <news:publication_date>2026-08-28T19:03:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728289</loc>
  <lastmod>2026-08-28T19:02:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二層ニューラルネットワークとランダム特徴モデルの最適化と汎化の比較（A Comparative Analysis of Optimization and Generalization Properties of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics）</news:title>
   <news:publication_date>2026-08-28T19:02:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728287</loc>
  <lastmod>2026-08-28T19:02:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星データと機械学習による作物地図の自動化（Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning）</news:title>
   <news:publication_date>2026-08-28T19:02:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728285</loc>
  <lastmod>2026-08-28T18:10:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Fused Geometrically Augmented Imagesによる3D形状表現の学習（Learned 3D Shape Representations Using Fused Geometrically Augmented Images）</news:title>
   <news:publication_date>2026-08-28T18:10:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728283</loc>
  <lastmod>2026-08-28T18:10:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手動文字起こし誤りの自動検出手法の探究 (Exploring Methods for the Automatic Detection of Errors in Manual Transcription)</news:title>
   <news:publication_date>2026-08-28T18:10:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T18:10:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T18:10:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T18:08:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T18:08:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-28T18:08:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <lastmod>2026-08-28T17:16:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T17:16:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728267</loc>
  <lastmod>2026-08-28T17:15:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepSphere：グラフベースの球面CNNによる回転共変な高速処理（DEEPSPHERE: TOWARDS AN EQUIVARIANT GRAPH-BASED SPHERICAL CNN）</news:title>
   <news:publication_date>2026-08-28T17:15:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728265</loc>
  <lastmod>2026-08-28T17:15:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強重力場における一般相対性理論からの逸脱の探査（Exploring strong-field deviations from general relativity via gravitational waves）</news:title>
   <news:publication_date>2026-08-28T17:15:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <lastmod>2026-08-28T17:14:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ジェットを使った横方向運動量分布の計測が開く新しい扉（Transverse momentum dependent distributions in e+e− and semi-inclusive deep-inelastic scattering using jets）</news:title>
   <news:publication_date>2026-08-28T17:14:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-28T17:14:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ショット分類を詳しく見る（A Closer Look at Few-Shot Classification）</news:title>
   <news:publication_date>2026-08-28T17:14:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728259</loc>
  <lastmod>2026-08-28T17:13:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関係性に着目した行動予測の進化（Relational Action Forecasting）</news:title>
   <news:publication_date>2026-08-28T17:13:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728257</loc>
  <lastmod>2026-08-28T16:22:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内側と外側のリングは恒星バーと強く結びつかない（Inner and outer rings are not strongly coupled with stellar bars）</news:title>
   <news:publication_date>2026-08-28T16:22:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728255</loc>
  <lastmod>2026-08-28T16:22:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模協調フィルタリングデータの拡張（Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions）</news:title>
   <news:publication_date>2026-08-28T16:22:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728253</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境音分類のための教師なし特徴学習と重み付けサイクル整合型GAN（Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network）</news:title>
   <news:publication_date>2026-08-28T16:21:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728251</loc>
  <lastmod>2026-08-28T16:20:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep-Sentimentによる感情分析：CNNと双方向LSTMのアンサンブル（Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models）</news:title>
   <news:publication_date>2026-08-28T16:20:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728249</loc>
  <lastmod>2026-08-28T16:20:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形次元削減による時間ステップ学習で磁化ダイナミクスを予測する（Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics）</news:title>
   <news:publication_date>2026-08-28T16:20:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728247</loc>
  <lastmod>2026-08-28T16:20:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パルサー分類におけるDPGMMの実務的示唆（Classification of pulsars with Dirichlet process Gaussian mixture model）</news:title>
   <news:publication_date>2026-08-28T16:20:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728245</loc>
  <lastmod>2026-08-28T16:20:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人工蜂コロニーアルゴリズムにおける社会的相互作用の特徴づけ（Characterizing the Social Interactions in the Artificial Bee Colony Algorithm）</news:title>
   <news:publication_date>2026-08-28T16:20:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728243</loc>
  <lastmod>2026-08-28T15:28:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続時間埋め込みによる教師なし行動学習（Unsupervised learning of action classes with continuous temporal embedding）</news:title>
   <news:publication_date>2026-08-28T15:28:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728241</loc>
  <lastmod>2026-08-28T15:28:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在的ジェットサブストラクチャーの発見（Uncovering latent jet substructure）</news:title>
   <news:publication_date>2026-08-28T15:28:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728239</loc>
  <lastmod>2026-08-28T15:27:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フーリエパイチグラフィック顕微鏡のデータ駆動型設計（Data-Driven Design for Fourier Ptychographic Microscopy）</news:title>
   <news:publication_date>2026-08-28T15:27:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728237</loc>
  <lastmod>2026-08-28T15:26:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスケール学習と拡張密結合U-Netによる音声音源分離（Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets）</news:title>
   <news:publication_date>2026-08-28T15:26:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728235</loc>
  <lastmod>2026-08-28T15:26:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OpenCLデバイス上でのニューラルネットワーク高速化（Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN）</news:title>
   <news:publication_date>2026-08-28T15:26:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728233</loc>
  <lastmod>2026-08-28T15:26:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>補助タスク選択と混合比率の自動化（AUTOSEM: Automatic Task Selection and Mixing in Multi-Task Learning）</news:title>
   <news:publication_date>2026-08-28T15:26:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728231</loc>
  <lastmod>2026-08-28T15:25:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有限温度におけるベイズニューラルネットワーク（Bayesian Neural Networks at Finite Temperature）</news:title>
   <news:publication_date>2026-08-28T15:25:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728229</loc>
  <lastmod>2026-08-28T14:34:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動型経済的NMPCによる強化学習の統合（Data-driven Economic NMPC using Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-28T14:34:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728227</loc>
  <lastmod>2026-08-28T14:33:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T14:33:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728225</loc>
  <lastmod>2026-08-28T14:32:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼画像からの深度推定にステレオ知識を注入する手法（Learning monocular depth estimation infusing traditional stereo knowledge）</news:title>
   <news:publication_date>2026-08-28T14:32:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728223</loc>
  <lastmod>2026-08-28T14:32:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EoRパラメータ再構築のための改良された教師あり学習法 (Improved supervised learning methods for EoR parameters reconstruction)</news:title>
   <news:publication_date>2026-08-28T14:32:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728221</loc>
  <lastmod>2026-08-28T14:31:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化された構造探索と漸進的絞込みで効率化するNAS（ASAP: Architecture Search, Anneal and Prune）</news:title>
   <news:publication_date>2026-08-28T14:31:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728219</loc>
  <lastmod>2026-08-28T14:31:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>完全無監督の音声認識をGANとHMMで実現する枠組み（Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models）</news:title>
   <news:publication_date>2026-08-28T14:31:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728217</loc>
  <lastmod>2026-08-28T14:31:32Z</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学習のための加重点群増強（Weighted Point Cloud Augmentation for Neural Network Training）</news:title>
   <news:publication_date>2026-08-28T14:31:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728215</loc>
  <lastmod>2026-08-28T13:39:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成型ゼロショット学習における不変側面の活用（Leveraging the Invariant Side of Generative Zero-Shot Learning）</news:title>
   <news:publication_date>2026-08-28T13:39:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728213</loc>
  <lastmod>2026-08-28T13:39:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大マージン多モーダル・多タスク特徴抽出による画像分類（Large Margin Multi-modal Multi-task Feature Extraction for Image Classification）</news:title>
   <news:publication_date>2026-08-28T13:39:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728211</loc>
  <lastmod>2026-08-28T13:38:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ローカル記述子の文脈拡張による精度向上（Local Descriptor Augmentation with Cross-Modality Context）</news:title>
   <news:publication_date>2026-08-28T13:38:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728209</loc>
  <lastmod>2026-08-28T13:38:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種ドメインからの知識断片転移による距離学習（Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain）</news:title>
   <news:publication_date>2026-08-28T13:38:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728207</loc>
  <lastmod>2026-08-28T13:37:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重要でない経験を弾くことで強化学習の効率を高める発想（Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL）</news:title>
   <news:publication_date>2026-08-28T13:37:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728205</loc>
  <lastmod>2026-08-28T13:37:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>核状ニューラルネットワークによる自己組織化アーキテクチャ（Nucleus Neural Network: A Data-driven Self-organized Architecture）</news:title>
   <news:publication_date>2026-08-28T13:37:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728203</loc>
  <lastmod>2026-08-28T13:37:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種マルチタスク距離学習による多領域横断（Heterogeneous Multi-task Metric Learning across Multiple Domains）</news:title>
   <news:publication_date>2026-08-28T13:37:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728201</loc>
  <lastmod>2026-08-28T12:45:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T12:45:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728199</loc>
  <lastmod>2026-08-28T12:44:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Jensen-Shannon発散の一般化（On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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    <news:name>AI Benchmark Research</news:name>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T07:04:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T06:13:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T06:12:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル向け自動ポートレートマッティングの実時間化（Towards Real-Time Automatic Portrait Matting on Mobile Devices）</news:title>
   <news:publication_date>2026-08-28T06:12:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル向けリアルタイムキーワード検出における時間方向畳み込みの威力（Temporal Convolution for Real-time Keyword Spotting on Mobile Devices）</news:title>
   <news:publication_date>2026-08-28T06:12:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ワンビット送受信機を用いたマルチホップMU-MIMOの教師あり学習による検出（Supervised-Learning for Multi-Hop MU-MIMO Communications with One-Bit Transceivers）</news:title>
   <news:publication_date>2026-08-28T06:12:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-28T06:11:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-28T03:33:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
  <loc>https://aibr.jp/archives/728053</loc>
  <lastmod>2026-08-28T03:32:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ウェアラブルからの連続睡眠モニタリングに適応する教師なし転移学習（An unsupervised transfer learning algorithm for sleep monitoring）</news:title>
   <news:publication_date>2026-08-28T03:32:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728051</loc>
  <lastmod>2026-08-28T03:31:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人間の視覚計測を用いて手書き文書の転写精度を改善する（Measuring Human Perception to Improve Handwritten Document Transcription）</news:title>
   <news:publication_date>2026-08-28T03:31:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728049</loc>
  <lastmod>2026-08-28T03:31:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合画像改竄の深層局所化（Deep Localization of Mixed Image Tampering Techniques）</news:title>
   <news:publication_date>2026-08-28T03:31:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728047</loc>
  <lastmod>2026-08-28T02:40:41Z</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X線投影画像における教師なし材料セグメンテーションの実証（Unsupervised Learning Methods in X-ray Spectral Imaging Material Segmentation）</news:title>
   <news:publication_date>2026-08-28T02:40:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728045</loc>
  <lastmod>2026-08-28T02:40:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>患者別シリコーン製僧帽弁モデルによる外科トレーニングの革新（Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds）</news:title>
   <news:publication_date>2026-08-28T02:40:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728043</loc>
  <lastmod>2026-08-28T02:40:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neoに学ぶ学習型クエリ最適化（Neo: A Learned Query Optimizer）</news:title>
   <news:publication_date>2026-08-28T02:40:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728041</loc>
  <lastmod>2026-08-28T02:39:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地質学における生成対抗ネットワークを用いた確率的入力のパラメータ化 (Parametrization of stochastic inputs using generative adversarial networks with application in geology)</news:title>
   <news:publication_date>2026-08-28T02:39:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728039</loc>
  <lastmod>2026-08-28T02:39:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アペックス・タイムネットワークによるクロスデータセット微表情認識（A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition）</news:title>
   <news:publication_date>2026-08-28T02:39:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728037</loc>
  <lastmod>2026-08-28T02:38:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非凸機械学習における局所最小値は全局最小値である（Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning）</news:title>
   <news:publication_date>2026-08-28T02:38:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728035</loc>
  <lastmod>2026-08-28T02:38:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所化された関連ベクトル機械によるパターン分類（Proposing a Localized Relevance Vector Machine for Pattern Classification）</news:title>
   <news:publication_date>2026-08-28T02:38:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728033</loc>
  <lastmod>2026-08-28T01:46:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高加速度の弾道運動を筋肉駆動ロボットで学習制御する（Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots）</news:title>
   <news:publication_date>2026-08-28T01:46:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728031</loc>
  <lastmod>2026-08-28T01:46:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声モデル事前学習によるエンドツーエンド音声理解の改善（Speech Model Pre-training for End-to-End Spoken Language Understanding）</news:title>
   <news:publication_date>2026-08-28T01:46:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728029</loc>
  <lastmod>2026-08-28T01:46:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模アンテナアレイのためのビームフォーミング設計を深層学習で（Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning）</news:title>
   <news:publication_date>2026-08-28T01:46:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728027</loc>
  <lastmod>2026-08-28T01:46:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベイズ推定による混合多項ロジットモデルの実務的意義（Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations）</news:title>
   <news:publication_date>2026-08-28T01:46:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728025</loc>
  <lastmod>2026-08-28T01:45:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>抵抗性RAMベースの2値ニューラルネットワークの卓越したビット誤り耐性（Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks）</news:title>
   <news:publication_date>2026-08-28T01:45:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728023</loc>
  <lastmod>2026-08-28T01:45:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索木を使わないオンライン計画とExpert Iterationの革新（Policy Gradient Search: Online Planning and Expert Iteration without Search Trees）</news:title>
   <news:publication_date>2026-08-28T01:45:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728021</loc>
  <lastmod>2026-08-28T01:45:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>系列→要約→復元の自己符号化で学ぶ教師なし文圧縮（Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression）</news:title>
   <news:publication_date>2026-08-28T01:45:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728019</loc>
  <lastmod>2026-08-28T00:53:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小児MRIのリアルタイム画質評価（Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks）</news:title>
   <news:publication_date>2026-08-28T00:53:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728017</loc>
  <lastmod>2026-08-28T00:52:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>群衆の歩行者検出を改善する適応的NMS（Adaptive NMS: Reﬁning Pedestrian Detection in a Crowd）</news:title>
   <news:publication_date>2026-08-28T00:52:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728015</loc>
  <lastmod>2026-08-28T00:52:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重要人物検出のための関係学習（Learning to Learn Relation for Important People Detection in Still Images）</news:title>
   <news:publication_date>2026-08-28T00:52:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728013</loc>
  <lastmod>2026-08-28T00:51:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベクトル形式スケッチを学習するGANの手法（Teaching GANS to Sketch in Vector Format）</news:title>
   <news:publication_date>2026-08-28T00:51:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728011</loc>
  <lastmod>2026-08-28T00:51:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師から学ぶ距離学習：小型ネットワークで高品質な画像埋め込みを得る方法（Learning Metrics from Teachers: Compact Networks for Image Embedding）</news:title>
   <news:publication_date>2026-08-28T00:51:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728009</loc>
  <lastmod>2026-08-28T00:51:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VAEを用いた深層話者埋め込みの正則化（VAE-based regularization for deep speaker embedding）</news:title>
   <news:publication_date>2026-08-28T00:51:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728007</loc>
  <lastmod>2026-08-28T00:51:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カリキュラム学習が深層ネットワークの訓練にもたらす力（On The Power of Curriculum Learning in Training Deep Networks）</news:title>
   <news:publication_date>2026-08-28T00:51:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728005</loc>
  <lastmod>2026-08-27T23:59:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>頭蓋内脳波と自動特徴学習によるてんかん発作予測（Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction）</news:title>
   <news:publication_date>2026-08-27T23:59:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728003</loc>
  <lastmod>2026-08-27T23:49:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチコア多モード光ファイバと深層学習による高速スペクトル復元（Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fibre array）</news:title>
   <news:publication_date>2026-08-27T23:49:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728001</loc>
  <lastmod>2026-08-27T23:48:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自閉スペクトラム症の顔情動解析システム（A Facial Affect Analysis System for Autism Spectrum Disorder）</news:title>
   <news:publication_date>2026-08-27T23:48:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727999</loc>
  <lastmod>2026-08-27T23:47:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動画の自己教師付き時空間表現学習（Self-supervised Spatio-temporal Representation Learning for Videos）</news:title>
   <news:publication_date>2026-08-27T23:47:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727997</loc>
  <lastmod>2026-08-27T23:47:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習ユニットとランダムユニットの共同学習によるドメイン適応（Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging）</news:title>
   <news:publication_date>2026-08-27T23:47:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727995</loc>
  <lastmod>2026-08-27T23:47:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Redditにおけるマクロ規範違反検出のハイブリッド手法（Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit）</news:title>
   <news:publication_date>2026-08-27T23:47:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727993</loc>
  <lastmod>2026-08-27T23:47:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>競争比とレグレットの両立を目指すオンラインアルゴリズムの方法論（Competitive ratio versus regret minimization: achieving the best of both worlds）</news:title>
   <news:publication_date>2026-08-27T23:47:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727991</loc>
  <lastmod>2026-08-27T22:54:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AMSGRADの収束証明の再検討と改良版（On the Convergence Proof of AMSGrad and a New Version）</news:title>
   <news:publication_date>2026-08-27T22:54:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727989</loc>
  <lastmod>2026-08-27T22:54:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内部脅威検知の再設計 — esINSIDERの要点と経営判断への示唆 (Reframing Threat Detection: Inside esINSIDER)</news:title>
   <news:publication_date>2026-08-27T22:54:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727987</loc>
  <lastmod>2026-08-27T22:54:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチラベル画像認識を変えるグラフ畳み込みネットワーク（Multi-Label Image Recognition with Graph Convolutional Networks）</news:title>
   <news:publication_date>2026-08-27T22:54:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727985</loc>
  <lastmod>2026-08-27T22:53:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>より微妙な比較を可能にする（COMPARE MORE NUANCED: PAIRWISE ALIGNMENT BILINEAR NETWORK FOR FEW-SHOT FINE-GRAINED LEARNING）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-27T22:53:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>大規模環境での変化検出を一段速くする深層3Dニューラルコードによる検索手法（Scalable Change Retrieval Using Deep 3D Neural Codes）</news:title>
   <news:publication_date>2026-08-27T21:59:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-27T21:08:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-27T21:08:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ランダム化ベイジアン最小二乗方策反復（Randomised Bayesian Least-Squares Policy Iteration）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2500FPS超の高密度3D顔復元：テクスチャと形状の同時メッシュ畳み込みデコーダ（Dense 3D Face Decoding over 2500FPS: Joint Texture &amp;amp; Shape Convolutional Mesh Decoders）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-27T21:06:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-27T19:21:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-27T19:21:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VATEX: 多言語・大規模動画データセットがもたらす実務インパクト（VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research）</news:title>
   <news:publication_date>2026-08-27T19:21:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-27T19:21:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-27T19:21:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>クロスタスク学習による音響タギング・音イベント検出・空間局在化の共通基盤（CROSS-TASK LEARNING FOR AUDIO TAGGING, SOUND EVENT DETECTION AND SPATIAL LOCALIZATION: DCASE 2019 BASELINE SYSTEMS）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/727927</loc>
  <lastmod>2026-08-27T19:20:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サリエンシーで補完する少数ショット学習（Few-shot Learning via Saliency-guided Hallucination of Samples）</news:title>
   <news:publication_date>2026-08-27T19:20:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727925</loc>
  <lastmod>2026-08-27T19:20:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フォトリアリスティック環境における点群認識を用いたエンボディド質問応答（Embodied Question Answering in Photorealistic Environments with Point Cloud Perception）</news:title>
   <news:publication_date>2026-08-27T19:20:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727923</loc>
  <lastmod>2026-08-27T19:19:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>深層スタック型階層多重パッチネットワークによる画像ブレ補正（Deep Stacked Hierarchical Multi-patch Network for Image Deblurring）</news:title>
   <news:publication_date>2026-08-27T19:19:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727921</loc>
  <lastmod>2026-08-27T18:28:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-27T18:28:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-27T18:27:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>高次元確率的最適化における低ランク正則化（Regularized Sample Average Approximation for High-Dimensional Stochastic Optimization Under Low-Rankness）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-27T18:27:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>トークンレベルのアンサンブル蒸留によるG2P変換の改善（Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion）</news:title>
   <news:publication_date>2026-08-27T18:27:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-27T18:26:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-27T18:26:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/727911</loc>
  <lastmod>2026-08-27T18:26:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バスの所要時間予測（Bus Travel Time Prediction: A log-normal Auto-Regressive (AR) Modeling Approach）</news:title>
   <news:publication_date>2026-08-27T18:26:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727909</loc>
  <lastmod>2026-08-27T18:25:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成モデルの潜在空間における特徴ベース補間と測地線（Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models）</news:title>
   <news:publication_date>2026-08-27T18:25:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727907</loc>
  <lastmod>2026-08-27T17:34:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カメラを意識した教師なしドメイン適応による人物再識別（A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identiﬁcation）</news:title>
   <news:publication_date>2026-08-27T17:34:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727905</loc>
  <lastmod>2026-08-27T17:34:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リングメッシュ：多数コアアクセラレータ向けのスケーラブルで高性能な接続方式 (Ring-Mesh: A Scalable and High-Performance Approach for Manycore Accelerators)</news:title>
   <news:publication_date>2026-08-27T17:34:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727903</loc>
  <lastmod>2026-08-27T17:33:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ拡張不変性と広がりを利用した教師なし埋め込み学習（Unsupervised Embedding Learning via Invariant and Spreading Instance Feature）</news:title>
   <news:publication_date>2026-08-27T17:33:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727901</loc>
  <lastmod>2026-08-27T17:32:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的ネットワーク埋め込みの増分学習フレームワーク（FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings）</news:title>
   <news:publication_date>2026-08-27T17:32:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727899</loc>
  <lastmod>2026-08-27T17:32:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化された音声強調を目指すGAN（Towards Generalized Speech Enhancement with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-08-27T17:32:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727897</loc>
  <lastmod>2026-08-27T17:32:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の自己教師ありタスクから学ぶ問題非依存な音声表現（Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks）</news:title>
   <news:publication_date>2026-08-27T17:32:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727895</loc>
  <lastmod>2026-08-27T17:32:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈認識型の人間運動予測（Context-aware Human Motion Prediction）</news:title>
   <news:publication_date>2026-08-27T17:32:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727893</loc>
  <lastmod>2026-08-27T16:40:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的RGB-D融合による深層表面法線推定（Deep Surface Normal Estimation with Hierarchical RGB-D Fusion）</news:title>
   <news:publication_date>2026-08-27T16:40:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727891</loc>
  <lastmod>2026-08-27T16:40:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バックトラックレス整列空間グラフ畳み込みネットワークの図解（Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification）</news:title>
   <news:publication_date>2026-08-27T16:40:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727889</loc>
  <lastmod>2026-08-27T16:40:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層畳み込みニューラルネットワークのための効率的かつ有効なドロップアウト（Efficient and Effective Dropout for Deep Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-08-27T16:40:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727887</loc>
  <lastmod>2026-08-27T16:39:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼深度推定のCNN可視化（Visualization of Convolutional Neural Networks for Monocular Depth Estimation）</news:title>
   <news:publication_date>2026-08-27T16:39:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727885</loc>
  <lastmod>2026-08-27T16:39:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再識別を用いたテクスチャ生成（Re-Identification Supervised Texture Generation）</news:title>
   <news:publication_date>2026-08-27T16:39:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727883</loc>
  <lastmod>2026-08-27T16:39:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゾーニング特徴を用いたパシュトー手書き文字の認識（KNN and ANN-based Recognition of Handwritten Pashto Letters using Zoning Features）</news:title>
   <news:publication_date>2026-08-27T16:39:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727881</loc>
  <lastmod>2026-08-27T16:38:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在次元とコミュニティ数のベイジアン推定（Bayesian estimation of the latent dimension and communities in stochastic blockmodels）</news:title>
   <news:publication_date>2026-08-27T16:38:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727879</loc>
  <lastmod>2026-08-27T15:47:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復カーネル補正によるブラインド超解像（Blind Super-Resolution With Iterative Kernel Correction）</news:title>
   <news:publication_date>2026-08-27T15:47:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727877</loc>
  <lastmod>2026-08-27T15:47:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カメラレンズ超解像（Camera Lens Super-Resolution）</news:title>
   <news:publication_date>2026-08-27T15:47:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727875</loc>
  <lastmod>2026-08-27T15:47:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味解析を用いた教師なし人物画像生成（Unsupervised Person Image Generation with Semantic Parsing Transformation）</news:title>
   <news:publication_date>2026-08-27T15:47:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727873</loc>
  <lastmod>2026-08-27T15:46:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所一貫性を目指した物体計数の制約付き多段畳み込みニューラルネットワーク（Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-08-27T15:46:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727871</loc>
  <lastmod>2026-08-27T15:46:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話システムの一貫性評価における含意手法（Evaluating Coherence in Dialogue Systems using Entailment）</news:title>
   <news:publication_date>2026-08-27T15:46:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727869</loc>
  <lastmod>2026-08-27T15:45:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己注意とガンベル部分集合サンプリングによる点群処理の革新（Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling）</news:title>
   <news:publication_date>2026-08-27T15:45:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727867</loc>
  <lastmod>2026-08-27T15:45:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機能する注意機構を持つ強化学習（Reinforcement Learning with Attention that Works: A Self-Supervised Approach）</news:title>
   <news:publication_date>2026-08-27T15:45:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <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>
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   <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>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727555</loc>
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  <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>
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  <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>
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   <news:genres>Blog</news:genres>
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 </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>
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