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   <news:title>参照語順のゆらぎを許容する微分可能サンプリング（Differentiable Sampling with Flexible Reference Word Order）</news:title>
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   <news:title>文書レベルのN項関係抽出における多重スケール表現学習（Document-Level N-ary Relation Extraction with Multiscale Representation Learning）</news:title>
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   <news:title>適応重み付き学習で軽量化した単一画像超解像ネットワーク（Lightweight Image Super-Resolution with Adaptive Weighted Learning Network）</news:title>
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   <news:title>双言語単語埋め込みの密度整合（Density Matching for Bilingual Word Embedding）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Preference Neural Networkによるラベルランキングの再定義（Preference Neural Network）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>動的環境下における自律車のリスク上限付きオンライン軌道計画（Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments）</news:title>
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   <news:title>SUMMITによる深層学習の可視化と解釈の大規模化（SUMMIT: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations）</news:title>
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    <news:language>ja</news:language>
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   <news:title>特徴ピラミッドによるハッシング（Feature Pyramid Hashing）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>マルチビュー環境で「欠け」を補う表現学習の新手法（Multi-view Intact Space Learning）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T10:40:10Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>一貫性に基づくゼロショット機械翻訳（Consistency by Agreement in Zero-shot Neural Machine Translation）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T09:49:01Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>事前学習済みInception-ResNetを用いた修正分布整合によるドメイン適応（Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>要約生成をQA報酬で導く手法（Guiding Extractive Summarization with Question-Answering Rewards）</news:title>
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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:title>未知環境で動く被写体を追うドローン撮影の自律化（Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments）</news:title>
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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:title>木構造上で計算される関数について（ON FUNCTIONS COMPUTED ON TREES）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T09:47:39Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>サブグラフランキングと結合スコアによるシンプル質問応答（Simple Question Answering with Subgraph Ranking and Joint-Scoring）</news:title>
   <news:publication_date>2026-08-26T09:47:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T09:47:08Z</lastmod>
  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>一般的活性化関数を持つニューラルネットワークの近似率（APPROXIMATION RATES FOR NEURAL NETWORKS WITH GENERAL ACTIVATION FUNCTIONS）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T09:47:03Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>入力変換による推論改善（Improved Inference via Deep Input Transfer）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:54:55Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>堅牢な深層ガウス過程（Robust Deep Gaussian Processes）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>学習不要・ワンショットで地理空間物体を検出する枠組み（A TRAINING-FREE, ONE-SHOT DETECTION FRAMEWORK FOR GEOSPATIAL OBJECTS IN REMOTE SENSING IMAGES）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>クラス不均衡を直接扱う特徴選択（Cost-Sensitive Feature Selection by Optimizing F-measures）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:53:54Z</lastmod>
  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>GAN2vecによるテキスト生成（Generative Adversarial Networks for text using word2vec intermediaries）</news:title>
   <news:publication_date>2026-08-26T08:53:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:53:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Gated-GANによる多コレクションスタイル転送の意義（Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer）</news:title>
   <news:publication_date>2026-08-26T08:53:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>HoloDetect: 少数ショットでデータ誤りを見つける技術（HoloDetect: Few-Shot Learning for Error Detection）</news:title>
   <news:publication_date>2026-08-26T08:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/727395</loc>
  <lastmod>2026-08-26T08:53:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Sivers効果に対する新しいアプローチ（New approach to the Sivers effect in the collinear twist-3 formalism）</news:title>
   <news:publication_date>2026-08-26T08:53:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:02:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二重注意型グラフ畳み込みネットワーク（DAGCN: Dual Attention Graph Convolutional Networks）</news:title>
   <news:publication_date>2026-08-26T08:02:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/727391</loc>
  <lastmod>2026-08-26T08:02:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>線形およびカーネル分類器の訓練に対するサブリニア量子アルゴリズム（Sublinear quantum algorithms for training linear and kernel-based classifiers）</news:title>
   <news:publication_date>2026-08-26T08:02:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/727389</loc>
  <lastmod>2026-08-26T08:01:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGB-D画像からの連続直接スパース視覚測程（Continuous Direct Sparse Visual Odometry from RGB-D Images）</news:title>
   <news:publication_date>2026-08-26T08:01:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/727387</loc>
  <lastmod>2026-08-26T08:01:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込みの多クラス偏りを検出・除去する方法（Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings）</news:title>
   <news:publication_date>2026-08-26T08:01:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/727385</loc>
  <lastmod>2026-08-26T08:00:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理法則を組み込むディープラーニング──4D地震データによる圧力・飽和度反転の事例（INCLUDING PHYSICS IN DEEP LEARNING – AN EXAMPLE FROM 4D SEISMIC PRESSURE SATURATION INVERSION）</news:title>
   <news:publication_date>2026-08-26T08:00:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-26T08:00:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>日本語の述語および事象名詞の格構造解析におけるマルチタスク学習（Multi-task Learning for Japanese Predicate Argument Structure Analysis）</news:title>
   <news:publication_date>2026-08-26T08:00:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <lastmod>2026-08-26T08:00:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を越えた学習：会話レベル特徴が比喩識別を改善する（Learning Outside the Box: Discourse-level Features Improve Metaphor Identification）</news:title>
   <news:publication_date>2026-08-26T08:00:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/727379</loc>
  <lastmod>2026-08-26T07:08:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生体試料における定量ラマン分光の前処理最適化と機械学習（Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology）</news:title>
   <news:publication_date>2026-08-26T07:08:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727377</loc>
  <lastmod>2026-08-26T07:08:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパーボリック画像埋め込み（Hyperbolic Image Embeddings）</news:title>
   <news:publication_date>2026-08-26T07:08:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727375</loc>
  <lastmod>2026-08-26T07:08:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>熱赤外から可視スペクトルへの未対合変換（Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training）</news:title>
   <news:publication_date>2026-08-26T07:08:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727373</loc>
  <lastmod>2026-08-26T07:07:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>雑然とした環境での物理ベース把持学習（Learning Physics-Based Manipulation in Clutter）</news:title>
   <news:publication_date>2026-08-26T07:07:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727371</loc>
  <lastmod>2026-08-26T07:06:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>下流の分類タスクが文埋め込み評価に与える影響（The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings）</news:title>
   <news:publication_date>2026-08-26T07:06:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727369</loc>
  <lastmod>2026-08-26T07:06:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロバストなマルチエージェント反事実予測（Robust Multi-agent Counterfactual Prediction）</news:title>
   <news:publication_date>2026-08-26T07:06:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727367</loc>
  <lastmod>2026-08-26T07:06:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚的グラウンディングの再検討（Revisiting Visual Grounding）</news:title>
   <news:publication_date>2026-08-26T07:06:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727365</loc>
  <lastmod>2026-08-26T06:14:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DFANetによる高速語義セグメンテーションの実用化可能性（DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-26T06:14:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727363</loc>
  <lastmod>2026-08-26T06:14:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>温度時系列の分解を非負値行列因子分解で行う意義（Decomposing Temperature Time Series with Non-Negative Matrix Factorization）</news:title>
   <news:publication_date>2026-08-26T06:14:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727361</loc>
  <lastmod>2026-08-26T06:14:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ising Born Machineによる生成モデルの量子優位性の提示（The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine）</news:title>
   <news:publication_date>2026-08-26T06:14:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727359</loc>
  <lastmod>2026-08-26T06:13:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共有道路上の人間行動を学習し操る方法（The Green Choice: Learning and Influencing Human Decisions on Shared Roads）</news:title>
   <news:publication_date>2026-08-26T06:13:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727357</loc>
  <lastmod>2026-08-26T06:13:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大量多言語に対する敵対的音声認識の研究（Massively Multilingual Adversarial Speech Recognition）</news:title>
   <news:publication_date>2026-08-26T06:13:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727355</loc>
  <lastmod>2026-08-26T06:13:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師付き・自己符号化器・価値損失を共同で事前学習する手法（JOINTLY PRE-TRAINING WITH SUPERVISED, AUTOENCODER, AND VALUE LOSSES FOR DEEP REINFORCEMENT LEARNING）</news:title>
   <news:publication_date>2026-08-26T06:13:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727353</loc>
  <lastmod>2026-08-26T06:12:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>漸進的確率的2値化による深層ネットワークの効率化（Progressive Stochastic Binarization of Deep Networks）</news:title>
   <news:publication_date>2026-08-26T06:12:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727351</loc>
  <lastmod>2026-08-26T05:20:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を意識した画像間翻訳とドメイン転移（Semantics-Aware Image to Image Translation and Domain Transfer）</news:title>
   <news:publication_date>2026-08-26T05:20:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727349</loc>
  <lastmod>2026-08-26T05:20:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PaintBotによる自然画材のための強化学習アプローチ（PaintBot: A Reinforcement Learning Approach for Natural Media Painting）</news:title>
   <news:publication_date>2026-08-26T05:20:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727347</loc>
  <lastmod>2026-08-26T05:19:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D Bird’s-Eye-Viewによる点群のインスタンスセグメンテーション（3D Bird’s-Eye-View Instance Segmentation）</news:title>
   <news:publication_date>2026-08-26T05:19:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727345</loc>
  <lastmod>2026-08-26T05:19:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低深度光学ニューラルネットワーク（Low-Depth Optical Neural Networks）</news:title>
   <news:publication_date>2026-08-26T05:19:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727343</loc>
  <lastmod>2026-08-26T05:19:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテを使った医療機器監視（Medical device surveillance with electronic health records）</news:title>
   <news:publication_date>2026-08-26T05:19:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727341</loc>
  <lastmod>2026-08-26T05:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CloudCAMPによるクラウドサービス展開の自動化（CloudCAMP: Automating Cloud Services Deployment &amp;amp; Management）</news:title>
   <news:publication_date>2026-08-26T05:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727339</loc>
  <lastmod>2026-08-26T05:18:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルウェア検出におけるコンピュータビジョンの有効性・信頼性・回復力（Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions）</news:title>
   <news:publication_date>2026-08-26T05:18:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727337</loc>
  <lastmod>2026-08-26T04:27:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定ベースのクエリ効率化手法 HopSkipJumpAttack（HopSkipJumpAttack: A Query-Efficient Decision-Based Attack）</news:title>
   <news:publication_date>2026-08-26T04:27:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727335</loc>
  <lastmod>2026-08-26T04:27:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話的画像生成のための制約付きGAN（Constrained Generative Adversarial Networks for Interactive Image Generation）</news:title>
   <news:publication_date>2026-08-26T04:27:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727333</loc>
  <lastmod>2026-08-26T04:26:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし潜在木構造誘導と深層インサイド・アウトサイド再帰オートエンコーダ（Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders）</news:title>
   <news:publication_date>2026-08-26T04:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727331</loc>
  <lastmod>2026-08-26T04:26:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>権限で分けて精度を上げるAndroidマルウェア検知（Group-wise classification approach to improve Android malicious apps detection accuracy）</news:title>
   <news:publication_date>2026-08-26T04:26:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727329</loc>
  <lastmod>2026-08-26T04:25:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CMB偏光レンズと銀河弱視の相関の証拠（Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from Polarbear and Cosmic Shear from Subaru Hyper Suprime-Cam）</news:title>
   <news:publication_date>2026-08-26T04:25:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727327</loc>
  <lastmod>2026-08-26T04:25:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群の過分割を学習で解く――グラフ構造化深層距離学習による新アプローチ（Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning）</news:title>
   <news:publication_date>2026-08-26T04:25:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727325</loc>
  <lastmod>2026-08-26T04:25:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的勾配降下法に対する正規近似の非漸近収束率（Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT）</news:title>
   <news:publication_date>2026-08-26T04:25:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727323</loc>
  <lastmod>2026-08-26T03:34:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デイビス洞窟におけるガンマ線背景測定（Measurement of the Gamma Ray Background in the Davis Cavern at the Sanford Underground Research Facility）</news:title>
   <news:publication_date>2026-08-26T03:34:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727321</loc>
  <lastmod>2026-08-26T03:34:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>75言語を1モデルで解析する手法の要点（75 Languages, 1 Model: Parsing Universal Dependencies Universally）</news:title>
   <news:publication_date>2026-08-26T03:34:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727319</loc>
  <lastmod>2026-08-26T03:33:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療におけるメディカル・デコンファウンダー（The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records）</news:title>
   <news:publication_date>2026-08-26T03:33:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727317</loc>
  <lastmod>2026-08-26T03:32:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二つの突起ジェットを解釈可能に分類する深層学習（Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra）</news:title>
   <news:publication_date>2026-08-26T03:32:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727315</loc>
  <lastmod>2026-08-26T03:32:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>腹部Dixon MRIにおける脂肪組織セグメンテーションのための自動化深層学習パイプライン（FatSegNet: A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI）</news:title>
   <news:publication_date>2026-08-26T03:32:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727313</loc>
  <lastmod>2026-08-26T03:32:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電磁波サイドチャネル解析を使ったIoT機器の鑑識調査（Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices）</news:title>
   <news:publication_date>2026-08-26T03:32:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727311</loc>
  <lastmod>2026-08-26T03:32:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手術ビデオの自動整列（Automatic alignment of surgical videos using kinematic data）</news:title>
   <news:publication_date>2026-08-26T03:32:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727309</loc>
  <lastmod>2026-08-26T02:40:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最小体積トピックモデリング（Minimum Volume Topic Modeling）</news:title>
   <news:publication_date>2026-08-26T02:40:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727307</loc>
  <lastmod>2026-08-26T02:36:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数種のサブスペースを学習で扱う（Learning for Multi-Type Subspace Clustering）</news:title>
   <news:publication_date>2026-08-26T02:36:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727305</loc>
  <lastmod>2026-08-26T02:36:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterを使ったサイバー脅威可視化のストリーミング手法（Processing Tweets for Cybersecurity Threat Awareness）</news:title>
   <news:publication_date>2026-08-26T02:36:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727303</loc>
  <lastmod>2026-08-26T02:35:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>健康と親族関係が重要である（Health and Kinship Matter: Learning About Direct-To-Consumer Genetic Testing User Experiences via Online Discussions）</news:title>
   <news:publication_date>2026-08-26T02:35:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727301</loc>
  <lastmod>2026-08-26T02:34:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆型低増幅アバランシェ検出器の意義（Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications）</news:title>
   <news:publication_date>2026-08-26T02:34:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727299</loc>
  <lastmod>2026-08-26T02:34:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>希薄なTwitter空間における薬物乱用検出のためのアンサンブル深層学習モデル（An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere）</news:title>
   <news:publication_date>2026-08-26T02:34:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727297</loc>
  <lastmod>2026-08-26T02:34:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化変分推論：新たな事後分布設計のための三つの論点（Generalized Variational Inference: Three arguments for deriving new Posteriors）</news:title>
   <news:publication_date>2026-08-26T02:34:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727295</loc>
  <lastmod>2026-08-26T01:42:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルベース遺伝的プログラミングの改善と象徴回帰への応用（Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions）</news:title>
   <news:publication_date>2026-08-26T01:42:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727293</loc>
  <lastmod>2026-08-26T01:42:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内陸水域のクロロフィルa推定におけるハイパースペクトルと機械学習の組合せ（Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models）</news:title>
   <news:publication_date>2026-08-26T01:42:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727291</loc>
  <lastmod>2026-08-26T01:41:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンザフライ学習で原子スケールの希少事象を効率的に扱う（On-the-Fly Active Learning of Interpretable Bayesian Force Fields for Atomistic Rare Events）</news:title>
   <news:publication_date>2026-08-26T01:41:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727289</loc>
  <lastmod>2026-08-26T01:40:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>KGR10コーパスを用いたポーランド語単語埋め込みによる時間表現認識の評価（Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF）</news:title>
   <news:publication_date>2026-08-26T01:40:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727287</loc>
  <lastmod>2026-08-26T01:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機密を守る大規模近傍探索の実装（SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search）</news:title>
   <news:publication_date>2026-08-26T01:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727285</loc>
  <lastmod>2026-08-26T01:40:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OpBergによる因果文検出（OpBerg: Discovering causal sentences using optimal alignments）</news:title>
   <news:publication_date>2026-08-26T01:40:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727283</loc>
  <lastmod>2026-08-26T01:39:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カメラ内パラメータを考慮する単眼深度推定（CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth）</news:title>
   <news:publication_date>2026-08-26T01:39:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727281</loc>
  <lastmod>2026-08-26T00:48:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインで進化する特徴学習の新潮流 — STAMによる無監督逐次学習の提案（Unsupervised Progressive Learning and the STAM Architecture）</news:title>
   <news:publication_date>2026-08-26T00:48:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727279</loc>
  <lastmod>2026-08-26T00:47:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文書からの抽出と圧縮を同時に行う要約モデル（Jointly Extracting and Compressing Documents with Summary State Representations）</news:title>
   <news:publication_date>2026-08-26T00:47:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727277</loc>
  <lastmod>2026-08-26T00:47:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不変性が鍵となる人物再識別——ターゲット内変動を記憶するメモリの提案（Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification）</news:title>
   <news:publication_date>2026-08-26T00:47:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727275</loc>
  <lastmod>2026-08-26T00:46:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語内コードスイッチングのサブワード識別（Subword-Level Language Identification for Intra-Word Code-Switching）</news:title>
   <news:publication_date>2026-08-26T00:46:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727273</loc>
  <lastmod>2026-08-26T00:46:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星画像から得る深層ランドスケープ特徴による媒介性疾病予測の改善（Deep Landscape Features for Improving Vector-borne Disease Prediction）</news:title>
   <news:publication_date>2026-08-26T00:46:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727271</loc>
  <lastmod>2026-08-26T00:46:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>辺情報を取り込む確率的ブロックモデル（Stochastic Blockmodels with Edge Information）</news:title>
   <news:publication_date>2026-08-26T00:46:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727269</loc>
  <lastmod>2026-08-25T23:54:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HSTが解像したDDO 68に落ち込む小天体の星々（HST resolves stars in a tiny body falling on the dwarf galaxy DDO 68）</news:title>
   <news:publication_date>2026-08-25T23:54:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727267</loc>
  <lastmod>2026-08-25T23:53:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高コントラスト高強度フェムト秒レーザーパルスとシリコン標的の相互作用における強い逆向き衝撃波の生成 (Generation of a strong reverse shock wave in the interaction of a high-contrast high-intensity femtosecond laser pulse with a silicon target)</news:title>
   <news:publication_date>2026-08-25T23:53:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727265</loc>
  <lastmod>2026-08-25T23:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一つのニューロンで十分だった：アフタースホック予測における深層学習の過剰性（One neuron is more informative than a deep neural network for aftershock pattern forecasting）</news:title>
   <news:publication_date>2026-08-25T23:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727263</loc>
  <lastmod>2026-08-25T23:53:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>D2-Cityに学ぶ実走行ダッシュカム動画データセット（D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios）</news:title>
   <news:publication_date>2026-08-25T23:53:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727261</loc>
  <lastmod>2026-08-25T23:53:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Rep the Set: 集合表現を学習するニューラルネットワーク（Rep the Set: Neural Networks for Learning Set Representations）</news:title>
   <news:publication_date>2026-08-25T23:53:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727259</loc>
  <lastmod>2026-08-25T23:52:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文字領域認識に基づくシーンテキスト検出（Character Region Awareness for Text Detection）</news:title>
   <news:publication_date>2026-08-25T23:52:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727257</loc>
  <lastmod>2026-08-25T23:52:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>常識推論のための教師なし深層構造意味モデル（Unsupervised Deep Structured Semantic Models for Commonsense Reasoning）</news:title>
   <news:publication_date>2026-08-25T23:52:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727255</loc>
  <lastmod>2026-08-25T23:01:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビッグデータと深層学習の時代における不確実性下の最適化（Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming）</news:title>
   <news:publication_date>2026-08-25T23:01:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727253</loc>
  <lastmod>2026-08-25T23:01:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>産業4.0における入力変数範囲の決定（Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range）</news:title>
   <news:publication_date>2026-08-25T23:01:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727251</loc>
  <lastmod>2026-08-25T23:01:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生波形からのエンドツーエンド二耳定位（End-to-End Binaural Sound Localisation from the Raw Waveform）</news:title>
   <news:publication_date>2026-08-25T23:01:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727249</loc>
  <lastmod>2026-08-25T23:00:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シーンテキスト認識研究の比較はどこが問題か（What Is Wrong With Scene Text Recognition Model Comparisons?）</news:title>
   <news:publication_date>2026-08-25T23:00:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727247</loc>
  <lastmod>2026-08-25T23:00:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈可能で制御可能な顔の再演（Interpretable and Controllable Face Reenactment Using GANs）</news:title>
   <news:publication_date>2026-08-25T23:00:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727245</loc>
  <lastmod>2026-08-25T23:00:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トラッキングを超えて：Deep Visual Odometryのためのメモリ選択と姿勢改善（Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry）</news:title>
   <news:publication_date>2026-08-25T23:00:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727243</loc>
  <lastmod>2026-08-25T23:00:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層ラベルを活かすセマンティック双線形プーリング（Semantic Bilinear Pooling for Fine-Grained Recognition）</news:title>
   <news:publication_date>2026-08-25T23:00:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727241</loc>
  <lastmod>2026-08-25T22:08:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模コード学習の語彙設計（Modeling Vocabulary for Big Code Machine Learning）</news:title>
   <news:publication_date>2026-08-25T22:08:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727239</loc>
  <lastmod>2026-08-25T22:08:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単調ゲームにおけるナッシュ均衡の学習（Learning Nash Equilibria in Monotone Games）</news:title>
   <news:publication_date>2026-08-25T22:08:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727237</loc>
  <lastmod>2026-08-25T22:08:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>幾何認識を取り入れた対称的ドメイン適応による単眼深度推定（Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation）</news:title>
   <news:publication_date>2026-08-25T22:08:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727235</loc>
  <lastmod>2026-08-25T22:07:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的ミラーディセントの確率解釈とリスク感受性最適性 (A Stochastic Interpretation of Stochastic Mirror Descent: Risk-Sensitive Optimality)</news:title>
   <news:publication_date>2026-08-25T22:07:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727233</loc>
  <lastmod>2026-08-25T22:07:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴蒸留の包括的再設計（A Comprehensive Overhaul of Feature Distillation）</news:title>
   <news:publication_date>2026-08-25T22:07:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727231</loc>
  <lastmod>2026-08-25T22:07:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一デモから学ぶ接触重視タスクの自己評価学習（Self-Evaluation in One-Shot Learning from Demonstration of Contact-Intensive Task）</news:title>
   <news:publication_date>2026-08-25T22:07:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727229</loc>
  <lastmod>2026-08-25T22:06:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時変因果ネットワークのオンライン同定（Online Topology Identification from Vector Autoregressive Time Series）</news:title>
   <news:publication_date>2026-08-25T22:06:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727227</loc>
  <lastmod>2026-08-25T21:15:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルスライシングによる弾力的推論コスト下での複雑解析支援（Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints）</news:title>
   <news:publication_date>2026-08-25T21:15:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727225</loc>
  <lastmod>2026-08-25T21:15:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人物検索のためのコンテキストグラフ学習（Learning Context Graph for Person Search）</news:title>
   <news:publication_date>2026-08-25T21:15:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727223</loc>
  <lastmod>2026-08-25T21:14:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし深層トラッキング（Unsupervised Deep Tracking）</news:title>
   <news:publication_date>2026-08-25T21:14:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727221</loc>
  <lastmod>2026-08-25T21:14:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フーリエ位相回復における拡張サポート推定を用いた深層ニューラルネットワーク（Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network）</news:title>
   <news:publication_date>2026-08-25T21:14:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727219</loc>
  <lastmod>2026-08-25T21:13:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転不変性を備えた深層ニューラルネットの近似と学習（Deep Neural Networks for Rotation-Invariance Approximation and Learning）</news:title>
   <news:publication_date>2026-08-25T21:13:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727217</loc>
  <lastmod>2026-08-25T21:13:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体認識に基づくセマンティック対応の学習（SFNet: Learning Object-aware Semantic Correspondence）</news:title>
   <news:publication_date>2026-08-25T21:13:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727215</loc>
  <lastmod>2026-08-25T21:13:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クロスリンガル転移学習による音声言語理解の効率化（CROSS-LINGUAL TRANSFER LEARNING FOR SPOKEN LANGUAGE UNDERSTANDING）</news:title>
   <news:publication_date>2026-08-25T21:13:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727213</loc>
  <lastmod>2026-08-25T20:22:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>予算内での深層強化学習：3D制御と推論をスパコンなしで（Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer）</news:title>
   <news:publication_date>2026-08-25T20:22:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727211</loc>
  <lastmod>2026-08-25T20:20:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>埋め込み空間での相関を用いた知識蒸留（Correlation Congruence for Knowledge Distillation）</news:title>
   <news:publication_date>2026-08-25T20:20:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727209</loc>
  <lastmod>2026-08-25T20:20:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人の嗜好を考慮した公正性（Preference-Informed Fairness）</news:title>
   <news:publication_date>2026-08-25T20:20:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727207</loc>
  <lastmod>2026-08-25T20:20:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MAVNet：マイクロ無人機向けセマンティックセグメンテーションの軽量ネットワーク（MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks）</news:title>
   <news:publication_date>2026-08-25T20:20:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727205</loc>
  <lastmod>2026-08-25T20:19:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NECにランダム射影を組み込む意味（Random Projection in Neural Episodic Control）</news:title>
   <news:publication_date>2026-08-25T20:19:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727203</loc>
  <lastmod>2026-08-25T19:27:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Soft Rasterizerによる画像ベースの3D推論（Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning）</news:title>
   <news:publication_date>2026-08-25T19:27:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727201</loc>
  <lastmod>2026-08-25T19:27:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付き敵対的生成フローによる制御可能な画像合成（Conditional Adversarial Generative Flow for Controllable Image Synthesis）</news:title>
   <news:publication_date>2026-08-25T19:27:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727199</loc>
  <lastmod>2026-08-25T19:26:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中国語の語用誤り検出におけるマルチタスク学習の実務的意義（Multi-task Learning for Chinese Word Usage Errors Detection）</news:title>
   <news:publication_date>2026-08-25T19:26:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727197</loc>
  <lastmod>2026-08-25T19:26:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少量データからの高品質画像生成（Image Generation From Small Datasets via Batch Statistics Adaptation）</news:title>
   <news:publication_date>2026-08-25T19:26:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727195</loc>
  <lastmod>2026-08-25T19:26:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>広告の感情認識と計算広告への応用（Recognition of Advertisement Emotions with Application to Computational Advertising）</news:title>
   <news:publication_date>2026-08-25T19:26:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727193</loc>
  <lastmod>2026-08-25T19:26:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層マルチセット相関解析によるマルチモーダル表現学習（MULTIMODAL REPRESENTATION LEARNING USING DEEP MULTISET CANONICAL CORRELATION ANALYSIS）</news:title>
   <news:publication_date>2026-08-25T19:26:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727191</loc>
  <lastmod>2026-08-25T18:34:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ターゲット認識を意識した深層追跡（Target-Aware Deep Tracking）</news:title>
   <news:publication_date>2026-08-25T18:34:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727189</loc>
  <lastmod>2026-08-25T18:33:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>M2KDによる漸進学習の改良（M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation）</news:title>
   <news:publication_date>2026-08-25T18:33:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727187</loc>
  <lastmod>2026-08-25T18:33:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像と言語を同時に学ぶVideoBERTの衝撃（VideoBERT: A Joint Model for Video and Language Representation Learning）</news:title>
   <news:publication_date>2026-08-25T18:33:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727185</loc>
  <lastmod>2026-08-25T18:32:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リーマン運動方策によるニューラル自律航行（Neural Autonomous Navigation with Riemannian Motion Policy）</news:title>
   <news:publication_date>2026-08-25T18:32:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727183</loc>
  <lastmod>2026-08-25T18:32:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バッチ化された多腕バンディット問題（Batched Multi-armed Bandits Problem）</news:title>
   <news:publication_date>2026-08-25T18:32:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727181</loc>
  <lastmod>2026-08-25T18:32:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で原子単位の量子コンピュータ配列を特定する（Atomic-level Characterisation of Quantum Computer Arrays by Machine Learning）</news:title>
   <news:publication_date>2026-08-25T18:32:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727179</loc>
  <lastmod>2026-08-25T18:32:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クロスエントロピー敵対的ビュー適応による人物再識別（Cross-Entropy Adversarial View Adaptation for Person Re-identification）</news:title>
   <news:publication_date>2026-08-25T18:32:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727177</loc>
  <lastmod>2026-08-25T17:40:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Styler: Checkstyle違反を学習で自動修正する手法（Styler: learning formatting conventions to repair Checkstyle violations）</news:title>
   <news:publication_date>2026-08-25T17:40:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727175</loc>
  <lastmod>2026-08-25T17:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインk-PCAの指数収束を示したMatrix Krasulina（Exponentially convergent stochastic k-PCA without variance reduction）</news:title>
   <news:publication_date>2026-08-25T17:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727173</loc>
  <lastmod>2026-08-25T17:40:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク間の関係性を同時に学ぶ新しいマルチタスク学習（On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning）</news:title>
   <news:publication_date>2026-08-25T17:40:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727171</loc>
  <lastmod>2026-08-25T17:40:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SADIH: セマンティック認識型離散ハッシング（SADIH: Semantic-Aware DIscrete Hashing）</news:title>
   <news:publication_date>2026-08-25T17:40:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727169</loc>
  <lastmod>2026-08-25T17:40:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイルECにおける短い商品タイトル生成のためのマルチモーダル生成敵対ネットワーク（Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce）</news:title>
   <news:publication_date>2026-08-25T17:40:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727167</loc>
  <lastmod>2026-08-25T17:39:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己組織化型マルチエージェントシステムの検証法（Testing Self-Organizing Multiagent Systems）</news:title>
   <news:publication_date>2026-08-25T17:39:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727165</loc>
  <lastmod>2026-08-25T17:39:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔写真の「使える度」を数値化するFaceQnet（FaceQnet: Quality Assessment for Face Recognition based on Deep Learning）</news:title>
   <news:publication_date>2026-08-25T17:39:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727163</loc>
  <lastmod>2026-08-25T16:48:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>StratumによるMLワークフロー運用の自動化（Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks）</news:title>
   <news:publication_date>2026-08-25T16:48:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727152</loc>
  <lastmod>2026-08-25T16:38:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リストワイズ監視を用いた深層ポリシーハッシングネットワーク（Deep Policy Hashing Network with Listwise Supervision）</news:title>
   <news:publication_date>2026-08-25T16:38:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727150</loc>
  <lastmod>2026-08-25T16:37:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>法務文書レビューにおけるテキスト分類の深層学習に関する実証研究 (Empirical Study of Deep Learning for Text Classification in Legal Document Review)</news:title>
   <news:publication_date>2026-08-25T16:37:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727148</loc>
  <lastmod>2026-08-25T16:37:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特権文書レビューにおける機械学習とキーワード検索の比較（An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters）</news:title>
   <news:publication_date>2026-08-25T16:37:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727146</loc>
  <lastmod>2026-08-25T16:37:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>法的文書レビューにおける能動学習戦略の実証的評価 (Empirical Evaluations of Active Learning Strategies in Legal Document Review)</news:title>
   <news:publication_date>2026-08-25T16:37:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727144</loc>
  <lastmod>2026-08-25T16:36:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プログラム自動修復における位置特定と修復の同時学習（NEURAL PROGRAM REPAIR BY JOINTLY LEARNING TO LOCALIZE AND REPAIR）</news:title>
   <news:publication_date>2026-08-25T16:36:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727142</loc>
  <lastmod>2026-08-25T16:36:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前処理設定が予測コーディングの成果を左右する（Empirical Evaluations of Preprocessing Parameters’ Impact on Predictive Coding’s Effectiveness）</news:title>
   <news:publication_date>2026-08-25T16:36:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727140</loc>
  <lastmod>2026-08-25T15:45:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境変化下で自律学習する可塑性の進化（Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions）</news:title>
   <news:publication_date>2026-08-25T15:45:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727138</loc>
  <lastmod>2026-08-25T15:36:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DATA Labによる物理実験教育の再設計（Design, Analysis, Tools, and Apprenticeship (DATA) Lab）</news:title>
   <news:publication_date>2026-08-25T15:36:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727136</loc>
  <lastmod>2026-08-25T15:35:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の力学と構成則を学習するPhysics-Informedニューラルネットワークの比較研究 (A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations)</news:title>
   <news:publication_date>2026-08-25T15:35:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727134</loc>
  <lastmod>2026-08-25T15:34:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合信号ニューラルネットワークのノイズ耐性向上（Improving Noise Tolerance of Mixed-Signal Neural Networks）</news:title>
   <news:publication_date>2026-08-25T15:34:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727132</loc>
  <lastmod>2026-08-25T15:34:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D点対応の深層登録を同時に解く3DRegNet（3DRegNet: A Deep Neural Network for 3D Point Registration）</news:title>
   <news:publication_date>2026-08-25T15:34:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727130</loc>
  <lastmod>2026-08-25T15:33:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GPU向け畳み込みニューラルネットワークのメモリ挙動を正確に予測するモデル（DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis）</news:title>
   <news:publication_date>2026-08-25T15:33:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727128</loc>
  <lastmod>2026-08-25T15:33:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチグリッド予測フィルタフローによる教師なし動画学習（Multigrid Predictive Filter Flow for Unsupervised Learning on Videos）</news:title>
   <news:publication_date>2026-08-25T15:33:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727126</loc>
  <lastmod>2026-08-25T14:42:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地下区間でのスマートフォン位置推定（SubwayPS: Towards Smartphone Positioning in Underground Public Transportation Systems）</news:title>
   <news:publication_date>2026-08-25T14:42:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727124</loc>
  <lastmod>2026-08-25T14:34:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>キャリブレーション測定の見直し（Measuring Calibration in Deep Learning）</news:title>
   <news:publication_date>2026-08-25T14:34:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727122</loc>
  <lastmod>2026-08-25T14:34:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張ニューラル常微分方程式（Augmented Neural ODEs）</news:title>
   <news:publication_date>2026-08-25T14:34:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727120</loc>
  <lastmod>2026-08-25T14:34:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼3D物体検出と形状再構築の統合（Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction）</news:title>
   <news:publication_date>2026-08-25T14:34:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727118</loc>
  <lastmod>2026-08-25T14:32:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>うつ病の言語的・非言語的信号を統合して推定する手法（The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level）</news:title>
   <news:publication_date>2026-08-25T14:32:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727116</loc>
  <lastmod>2026-08-25T14:32:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mizarを加速する学習による節（clause）誘導（Hammering Mizar by Learning Clause Guidance）</news:title>
   <news:publication_date>2026-08-25T14:32:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727114</loc>
  <lastmod>2026-08-25T14:32:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラウタム正則化による半教師付き転移学習（Lautum Regularization for Semi-supervised Transfer Learning）</news:title>
   <news:publication_date>2026-08-25T14:32:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727112</loc>
  <lastmod>2026-08-25T13:41:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無病胸部X線を安全にふるい分ける深層転移学習（Identifying disease-free chest X-ray images with deep transfer learning）</news:title>
   <news:publication_date>2026-08-25T13:41:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727110</loc>
  <lastmod>2026-08-25T13:31:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行動駆動型弱教師あり物体検出（Activity Driven Weakly Supervised Object Detection）</news:title>
   <news:publication_date>2026-08-25T13:31:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727108</loc>
  <lastmod>2026-08-25T13:30:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MVX-Net: マルチモーダルVoxelNetによる3D物体検出の先駆け（MVX-Net: Multimodal VoxelNet for 3D Object Detection）</news:title>
   <news:publication_date>2026-08-25T13:30:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727106</loc>
  <lastmod>2026-08-25T13:30:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ジャンプ回帰の逐次適応設計（Sequential Adaptive Design for Jump Regression Estimation）</news:title>
   <news:publication_date>2026-08-25T13:30:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727104</loc>
  <lastmod>2026-08-25T13:30:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医用画像におけるドメイン適応と一般化の強力なベースライン（A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging）</news:title>
   <news:publication_date>2026-08-25T13:30:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727102</loc>
  <lastmod>2026-08-25T13:29:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種ゲノムデータから臨床転帰を学習する（Learning Clinical Outcomes from Heterogeneous Genomic Data Sources）</news:title>
   <news:publication_date>2026-08-25T13:29:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727100</loc>
  <lastmod>2026-08-25T13:29:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>主観的構成要素の回帰ラベル生成におけるトリプレット埋め込み（Generating Labels for Regression of Subjective Constructs using Triplet Embeddings）</news:title>
   <news:publication_date>2026-08-25T13:29:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727098</loc>
  <lastmod>2026-08-25T12:38:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注釈（アノテーション）効率を高める画像間変換による半教師ありセグメンテーション（Towards annotation-efficient segmentation via image-to-image translation）</news:title>
   <news:publication_date>2026-08-25T12:38:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727096</loc>
  <lastmod>2026-08-25T12:38:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>System Level Synthesis（System Level Synthesis）</news:title>
   <news:publication_date>2026-08-25T12:38:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727094</loc>
  <lastmod>2026-08-25T12:38:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>吸収線変動と連続光変化の関係：イオン化変化が駆動するBAL準星の吸収線変動（Ionization driven intrinsic absorption line variability of BAL quasars in the Stripe 82 region）</news:title>
   <news:publication_date>2026-08-25T12:38:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727092</loc>
  <lastmod>2026-08-25T12:37:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>100万時間の音声データで学んだこと（LESSONS FROM BUILDING ACOUSTIC MODELS WITH A MILLION HOURS OF SPEECH）</news:title>
   <news:publication_date>2026-08-25T12:37:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727090</loc>
  <lastmod>2026-08-25T12:37:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T12:37:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727088</loc>
  <lastmod>2026-08-25T12:36:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原子スケール表現とテンソル性質の統計学習（Atomic-scale representation and statistical learning of tensorial properties）</news:title>
   <news:publication_date>2026-08-25T12:36:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727086</loc>
  <lastmod>2026-08-25T12:36:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人体部位学習に向けたモデルフリー歩容認識（TOWARDS HUMAN BODY-PART LEARNING FOR MODEL-FREE GAIT RECOGNITION）</news:title>
   <news:publication_date>2026-08-25T12:36:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高赤方偏移銀河の存在量予測とファジィ暗黒物質の検証（Predictions for the Abundance of High-redshift Galaxies in a Fuzzy Dark Matter Universe）</news:title>
   <news:publication_date>2026-08-25T11:45:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成-識別補完学習（Generative-Discriminative Complementary Learning）</news:title>
   <news:publication_date>2026-08-25T11:44:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727080</loc>
  <lastmod>2026-08-25T11:44:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パルケス観測による銀河のH I質量関数の洞察（The H I mass function in the Parkes H I Zone of Avoidance survey）</news:title>
   <news:publication_date>2026-08-25T11:44:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727078</loc>
  <lastmod>2026-08-25T11:43:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原始技能の学習と一般化――堅牢な二腕マニピュレーションに向けて（Learning and Generalisation of Primitive Skills: Towards Robust Dual-arm Manipulation）</news:title>
   <news:publication_date>2026-08-25T11:43:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727076</loc>
  <lastmod>2026-08-25T11:43:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>α星Aの中心核の性質：金属量組成が及ぼす影響（On the nature of the core of α Centauri A: the impact of the metallicity mixture）</news:title>
   <news:publication_date>2026-08-25T11:43:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727074</loc>
  <lastmod>2026-08-25T11:43:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム配線ニューラルネットワークの画像認識への応用（Exploring Randomly Wired Neural Networks for Image Recognition）</news:title>
   <news:publication_date>2026-08-25T11:43:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727072</loc>
  <lastmod>2026-08-25T11:42:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習した分子表現による性質予測の解析（Analyzing Learned Molecular Representations for Property Prediction）</news:title>
   <news:publication_date>2026-08-25T11:42:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727070</loc>
  <lastmod>2026-08-25T10:51:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル論理ネットワークによる学習アルゴリズム（Learning Algorithms via Neural Logic Networks）</news:title>
   <news:publication_date>2026-08-25T10:51:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727068</loc>
  <lastmod>2026-08-25T10:42:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルモデルの数学的推論能力の分析（Analysing Mathematical Reasoning Abilities of Neural Models）</news:title>
   <news:publication_date>2026-08-25T10:42:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727066</loc>
  <lastmod>2026-08-25T10:42:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク侵入検知のための能動学習（Active Learning for Network Intrusion Detection）</news:title>
   <news:publication_date>2026-08-25T10:42:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727064</loc>
  <lastmod>2026-08-25T10:41:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Weisfeiler-Lemanの高次表現をスケーラブルにする手法（Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings）</news:title>
   <news:publication_date>2026-08-25T10:41:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727062</loc>
  <lastmod>2026-08-25T10:41:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小規模データ向けのエンドツーエンド視覚音声認識（End-to-End Visual Speech Recognition for Small-Scale Datasets）</news:title>
   <news:publication_date>2026-08-25T10:41:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727060</loc>
  <lastmod>2026-08-25T10:41:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声のノイズ除去を変えるパラメトリック再合成（SPEECH DENOISING BY PARAMETRIC RESYNTHESIS）</news:title>
   <news:publication_date>2026-08-25T10:41:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727058</loc>
  <lastmod>2026-08-25T10:40:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語誘発EEGデータの理解：ファインチューンした言語モデルで予測する（Understanding language-elicited EEG data by predicting it from a fine-tuned language model）</news:title>
   <news:publication_date>2026-08-25T10:40:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727056</loc>
  <lastmod>2026-08-25T09:49:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非凸目的関数に対する確率的勾配降下法の収束速度（Convergence rates for the stochastic gradient descent method for non-convex objective functions）</news:title>
   <news:publication_date>2026-08-25T09:49:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727054</loc>
  <lastmod>2026-08-25T09:48:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T09:48:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727052</loc>
  <lastmod>2026-08-25T09:48:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FEAFA: 顔表情分析と3D顔アニメーションのための高精度注釈データセット（FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation）</news:title>
   <news:publication_date>2026-08-25T09:48:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727050</loc>
  <lastmod>2026-08-25T09:47:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Synthetic Learner による時系列処置効果の推定（Synthetic learner: Model-Free Inference on Treatments over Time）</news:title>
   <news:publication_date>2026-08-25T09:47:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727048</loc>
  <lastmod>2026-08-25T09:47:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動による意味空間導出の有効性（Effectiveness of Data-Driven Induction of Semantic Spaces）</news:title>
   <news:publication_date>2026-08-25T09:47:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727046</loc>
  <lastmod>2026-08-25T09:46:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガイド付き超解像をピクセル対ピクセル変換として考える（Guided Super-Resolution as Pixel-to-Pixel Transformation）</news:title>
   <news:publication_date>2026-08-25T09:46:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727044</loc>
  <lastmod>2026-08-25T09:46:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T09:46:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727042</loc>
  <lastmod>2026-08-25T08:54:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>定量位相顕微鏡によるがん細胞の空間署名（Quantitative Phase Microscopy Spatial Signatures of Cancer Cells）</news:title>
   <news:publication_date>2026-08-25T08:54:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727040</loc>
  <lastmod>2026-08-25T08:46:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で位相転移を解き明かす（Unveiling phase transitions with machine learning）</news:title>
   <news:publication_date>2026-08-25T08:46:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727038</loc>
  <lastmod>2026-08-25T08:45:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストからリアルな画像を作るための意味分離（Semantics Disentangling for Text-to-Image Generation）</news:title>
   <news:publication_date>2026-08-25T08:45:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727036</loc>
  <lastmod>2026-08-25T08:45:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザー応答予測のための操作認識ニューラルネットワーク（Operation-aware Neural Networks for User Response Prediction）</news:title>
   <news:publication_date>2026-08-25T08:45:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727034</loc>
  <lastmod>2026-08-25T08:44:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BCMA-ES IIの再検討（BCMA-ES II: revisiting Bayesian CMA-ES）</news:title>
   <news:publication_date>2026-08-25T08:44:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727032</loc>
  <lastmod>2026-08-25T08:44:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク指向チャネル状態情報の量子化（Task Oriented Channel State Information Quantization）</news:title>
   <news:publication_date>2026-08-25T08:44:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727030</loc>
  <lastmod>2026-08-25T08:43:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈依存ニューラル原形復元のための訓練データ拡張（Training Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text）</news:title>
   <news:publication_date>2026-08-25T08:43:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727028</loc>
  <lastmod>2026-08-25T07:52:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆引き辞書のための多義語ベクトル埋め込みの活用（Using Multi-Sense Vector Embeddings for Reverse Dictionaries）</news:title>
   <news:publication_date>2026-08-25T07:52:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727026</loc>
  <lastmod>2026-08-25T07:51:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチアームド・バンディットの実務応用サーベイ（A Survey on Practical Applications of Multi-Armed and Contextual Bandits）</news:title>
   <news:publication_date>2026-08-25T07:51:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727024</loc>
  <lastmod>2026-08-25T07:51:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非剛体点群整合の学習的アプローチ（Non-Rigid Point Set Registration Networks）</news:title>
   <news:publication_date>2026-08-25T07:51:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727022</loc>
  <lastmod>2026-08-25T07:50:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T07:50:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727020</loc>
  <lastmod>2026-08-25T07:50:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インスタンス・属性・カテゴリの協調埋め込みによる画像検索（Cooperative Embeddings for Instance, Attribute and Category Retrieval）</news:title>
   <news:publication_date>2026-08-25T07:50:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727018</loc>
  <lastmod>2026-08-25T07:50:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BCMA-ESのベイズ的再解釈が示す最適化戦略の本質（BCMA-ES: A Bayesian approach to CMA-ES）</news:title>
   <news:publication_date>2026-08-25T07:50:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727016</loc>
  <lastmod>2026-08-25T07:49:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遠縁の楕円銀河で起きたType II超新星の謎（SN 2016hil – A TYPE II SUPERNOVA IN THE REMOTE OUTSKIRTS OF AN ELLIPTICAL HOST AND ITS ORIGIN）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727014</loc>
  <lastmod>2026-08-25T06:58:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークの活性化空間の幾何構造（On Geometric Structure of Activation Spaces in Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/727012</loc>
  <lastmod>2026-08-25T06:58:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>橋梁コンクリート欠陥のためのメタ学習によるCNN設計（Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the CODEBRIM Dataset）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/727010</loc>
  <lastmod>2026-08-25T06:58:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-25T06:58:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727008</loc>
  <lastmod>2026-08-25T06:56:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T06:56:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727006</loc>
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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>2026-08-25T06:56:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727004</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:genres>Blog</news:genres>
  </news:news>
 </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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/727000</loc>
  <lastmod>2026-08-25T06:04:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしニューラルマスクビームフォーミングの訓練（Unsupervised training of neural mask-based beamforming）</news:title>
   <news:publication_date>2026-08-25T06:04:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像文脈でテキスト内部の表現を助ける手法（Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition）</news:title>
   <news:publication_date>2026-08-25T06:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726996</loc>
  <lastmod>2026-08-25T06:04:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジを残す画像平滑化のベンチマーク（A Benchmark for Edge-Preserving Image Smoothing）</news:title>
   <news:publication_date>2026-08-25T06:04:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726994</loc>
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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>2026-08-25T06:03:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726992</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>特徴選択とアンサンブル分類器に基づく効率的侵入検知システムの構築（Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier）</news:title>
   <news:publication_date>2026-08-25T06:03:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726990</loc>
  <lastmod>2026-08-25T06:03:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ホログラフィック・インフレーションの提案（Holographic Inflation）</news:title>
   <news:publication_date>2026-08-25T06:03:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726988</loc>
  <lastmod>2026-08-25T06:03:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河団のSZEスケーリングとIa型超新星による距離双対性検証（Galaxy cluster Sunyaev-Zel&amp;#039;dovich effect scaling-relation and type Ia supernova observations as a test for the cosmic distance duality relation）</news:title>
   <news:publication_date>2026-08-25T06:03:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-25T05:12:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>層ごとの相関を用いたニューラルネットワークの不確実性評価（Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-25T05:12:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点注釈のみで群衆内の検出とカウントを同時に行う手法（Point in, Box out: Beyond Counting Persons in Crowds）</news:title>
   <news:publication_date>2026-08-25T05:11:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726982</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無監視人物再識別のための条件付き敵対的ネットワーク（CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-Identification）</news:title>
   <news:publication_date>2026-08-25T05:11:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726980</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HoloGANが切り拓く「2D画像からの3D理解」の自動化（HoloGAN: Unsupervised Learning of 3D Representations From Natural Images）</news:title>
   <news:publication_date>2026-08-25T05:10:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726978</loc>
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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>2026-08-25T05:10:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726976</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: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:publication_date>2026-08-25T04:18:56Z</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>
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   <news:publication_date>2026-08-25T04:18:44Z</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>
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   <news:publication_date>2026-08-25T04:18:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726968</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスター環境における厚いディスクの起源（The Fornax 3D project: Thick disks in a cluster environment）</news:title>
   <news:publication_date>2026-08-25T04:17:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726966</loc>
  <lastmod>2026-08-25T04:17:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オープンセット話者識別における識別型ニューラルネットワークの検証（Experiments on Open-Set Speaker Identification with Discriminatively Trained Neural Networks）</news:title>
   <news:publication_date>2026-08-25T04:17:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726964</loc>
  <lastmod>2026-08-25T04:17:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T04:17:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726962</loc>
  <lastmod>2026-08-25T04:17:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Reinforcement Learningによるパーティショニングアドバイザの学習（Learning a Partitioning Advisor with Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-25T04:17:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726960</loc>
  <lastmod>2026-08-25T03:25:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層メトリック学習に基づくハッシュネットワークによるリモートセンシング画像検索（Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images）</news:title>
   <news:publication_date>2026-08-25T03:25:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726958</loc>
  <lastmod>2026-08-25T03:25:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心線深度に基づく強化学習による左心耳開口部局在化（Centerline Depth World for Reinforcement Learning-based Left Atrial Appendage Orifice Localization）</news:title>
   <news:publication_date>2026-08-25T03:25:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726956</loc>
  <lastmod>2026-08-25T03:24:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-25T03:24:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726954</loc>
  <lastmod>2026-08-25T03:23:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DNS-Morph：TorのためのUDPベースのブートストラッププロトコル（DNS-Morph: UDP-Based Bootstrapping Protocol For Tor）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726952</loc>
  <lastmod>2026-08-25T03:23:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層サリエンシーモデルに対する敵対的攻撃（Adversarial Attacks against Deep Saliency Models）</news:title>
   <news:publication_date>2026-08-25T03:23:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726950</loc>
  <lastmod>2026-08-25T03:23:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BPPart と BPMax：塩基対カウントモデルによるRNA-RNA相互作用の分割関数と構造予測 (BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model)</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726948</loc>
  <lastmod>2026-08-25T03:23:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エントロピーサーチで最適化するエネルギーベースのスイングアップ制御（Enhancement of Energy-Based Swing-Up Controller via Entropy Search）</news:title>
   <news:publication_date>2026-08-25T03:23:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726946</loc>
  <lastmod>2026-08-25T02:31:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GC-MSピーク整列を深層学習で自動化する手法（Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning）</news:title>
   <news:publication_date>2026-08-25T02:31:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726944</loc>
  <lastmod>2026-08-25T02:31:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>境界上に生成して異常を見抜くアプローチ（Fence GAN: Towards Better Anomaly Detection）</news:title>
   <news:publication_date>2026-08-25T02:31:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726942</loc>
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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:publication_date>2026-08-25T02:30:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/726938</loc>
  <lastmod>2026-08-25T02:30:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散学習における通信削減のためのネスト付きディザ量子化（Nested Dithered Quantization for Communication Reduction in Distributed Training）</news:title>
   <news:publication_date>2026-08-25T02:30:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726936</loc>
  <lastmod>2026-08-25T02:29:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>12誘導心電図の自動診断に向けた深層ニューラルネットワークの実装（Automatic diagnosis of the 12-lead ECG using a deep neural network）</news:title>
   <news:publication_date>2026-08-25T02:29:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726934</loc>
  <lastmod>2026-08-25T02:29:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>期待モデルによる計画（Planning with Expectation Models）</news:title>
   <news:publication_date>2026-08-25T02:29:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726932</loc>
  <lastmod>2026-08-25T01:38:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を手がかりにした骨格ベース行動認識（Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition）</news:title>
   <news:publication_date>2026-08-25T01:38:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726930</loc>
  <lastmod>2026-08-25T01:37:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANにおけるリプシッツ連続性の効率的かつ無偏な実装に向けて（Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs）</news:title>
   <news:publication_date>2026-08-25T01:37:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726928</loc>
  <lastmod>2026-08-25T01:37:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データがなくても学べる学生ネットワークの作り方（Data-Free Learning of Student Networks）</news:title>
   <news:publication_date>2026-08-25T01:37:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726926</loc>
  <lastmod>2026-08-25T01:37:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語推論の最新動向（Recent Advances in Natural Language Inference: A Survey）</news:title>
   <news:publication_date>2026-08-25T01:37:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726924</loc>
  <lastmod>2026-08-25T01:36:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AIに照明推定を学習させる手法（DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality）</news:title>
   <news:publication_date>2026-08-25T01:36:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726922</loc>
  <lastmod>2026-08-25T01:36:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートホームの安全アクセスにおける人物識別と可視要約（Person Identification with Visual Summary for a Safe Access to a Smart Home）</news:title>
   <news:publication_date>2026-08-25T01:36:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726920</loc>
  <lastmod>2026-08-25T01:36:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理空間の位相構造に対する操作主義的アプローチ（Operational approach to the topological structure of the physical space）</news:title>
   <news:publication_date>2026-08-25T01:36:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726918</loc>
  <lastmod>2026-08-25T00:44:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Barista：効率的でスケーラブルなサーバーレス深層学習予測提供システム（BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services）</news:title>
   <news:publication_date>2026-08-25T00:44:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726916</loc>
  <lastmod>2026-08-25T00:44:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アディティブ製造部品向け2.5D深層学習MBIRによるX線CT再構成（X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR）</news:title>
   <news:publication_date>2026-08-25T00:44:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726914</loc>
  <lastmod>2026-08-25T00:43:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Curls &amp;amp; Wheyによるブラックボックス敵対的攻撃の改良（Curls &amp;amp; Whey: Boosting Black-Box Adversarial Attacks）</news:title>
   <news:publication_date>2026-08-25T00:43:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726912</loc>
  <lastmod>2026-08-25T00:43:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的サブスペース降下法（Stochastic Subspace Descent）</news:title>
   <news:publication_date>2026-08-25T00:43:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726910</loc>
  <lastmod>2026-08-25T00:43:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Contrastive Predictive Codingに基づく話者認証特徴量（Contrastive Predictive Coding Based Feature for Automatic Speaker Verification）</news:title>
   <news:publication_date>2026-08-25T00:43:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726908</loc>
  <lastmod>2026-08-25T00:43:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スムースな積分布の混合モデル学習（Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm）</news:title>
   <news:publication_date>2026-08-25T00:43:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726906</loc>
  <lastmod>2026-08-25T00:42:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>帯域割当モデルの認知的管理と事例ベース推論（Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning – Evidences Towards Dynamic BAM Reconfiguration）</news:title>
   <news:publication_date>2026-08-25T00:42:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726904</loc>
  <lastmod>2026-08-24T23:51:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少ない実演で学べる模倣学習の切り札：Generative Predecessor Models（GPRIL）（Generative Predecessor Models for Sample-Efficient Imitation Learning）</news:title>
   <news:publication_date>2026-08-24T23:51:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726902</loc>
  <lastmod>2026-08-24T23:50:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル構造予測における近似推論手法のベンチマーク（Benchmarking Approximate Inference Methods for Neural Structured Prediction）</news:title>
   <news:publication_date>2026-08-24T23:50:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726900</loc>
  <lastmod>2026-08-24T23:50:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模かつ異種混在の修復可能システムに対する信頼性解析手法の統合（Analysis of Large Heterogeneous Repairable System Reliability Data with Static System Attributes and Dynamic Sensor Measurement in Big Data Environment）</news:title>
   <news:publication_date>2026-08-24T23:50:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726898</loc>
  <lastmod>2026-08-24T23:49:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ScriptNet: 静的解析に基づく悪性JavaScript検出（ScriptNet: Neural Static Analysis for Malicious JavaScript Detection）</news:title>
   <news:publication_date>2026-08-24T23:49:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726896</loc>
  <lastmod>2026-08-24T23:49:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>余剰変数がRNNの臨床予測性能に与える影響（The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks）</news:title>
   <news:publication_date>2026-08-24T23:49:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726894</loc>
  <lastmod>2026-08-24T23:49:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterを用いたサイバー脅威検出の深層学習（Cyberthreat Detection from Twitter using Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-24T23:49:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726892</loc>
  <lastmod>2026-08-24T23:49:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HYPE: 人間の目で評価する生成モデルの基準（HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models）</news:title>
   <news:publication_date>2026-08-24T23:49:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726890</loc>
  <lastmod>2026-08-24T22:57:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ASSERT: Squeeze‑ExcitationとResidualネットワークによる音声なりすまし検出（ASSERT: Anti‑Spoofing with Squeeze‑Excitation and Residual neTworks）</news:title>
   <news:publication_date>2026-08-24T22:57:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726888</loc>
  <lastmod>2026-08-24T22:56:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>並列磁気共鳴画像再構成における深層学習の到達点（Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction）</news:title>
   <news:publication_date>2026-08-24T22:56:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726886</loc>
  <lastmod>2026-08-24T22:56:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープ・インダストリアル・エスピオナージ（Deep Industrial Espionage）</news:title>
   <news:publication_date>2026-08-24T22:56:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726884</loc>
  <lastmod>2026-08-24T22:56:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ全体を数値化して比較する技術の革新（Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity）</news:title>
   <news:publication_date>2026-08-24T22:56:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726882</loc>
  <lastmod>2026-08-24T22:56:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物性指向埋め込みによる材料探索の枠組み（Property-aimed embedding: a machine learning framework for material discovery）</news:title>
   <news:publication_date>2026-08-24T22:56:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726880</loc>
  <lastmod>2026-08-24T22:55:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>創造性に着想を得たゼロショット学習（Creativity Inspired Zero-Shot Learning）</news:title>
   <news:publication_date>2026-08-24T22:55:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726878</loc>
  <lastmod>2026-08-24T22:55:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指紋の固定長表現 — 深層ネットワークとドメイン知識による革新 (Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge)</news:title>
   <news:publication_date>2026-08-24T22:55:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726876</loc>
  <lastmod>2026-08-24T22:04:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中性子スキンが示す核物質方程式と中性子星への示唆（Neutron skins as laboratory constraints on properties of neutron stars and on what we can learn from heavy ion fragmentation reactions）</news:title>
   <news:publication_date>2026-08-24T22:04:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726874</loc>
  <lastmod>2026-08-24T21:56:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>記号的回帰による高速で汎用的な多体間相互作用ポテンシャルの発見（Fast, accurate, and transferable many-body interatomic potentials by symbolic regression）</news:title>
   <news:publication_date>2026-08-24T21:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726872</loc>
  <lastmod>2026-08-24T21:56:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層フェノタイピングの方法論と知識抽象化（Digging Deeper: Methodologies for High-Content Phenotyping and Knowledge-Abstraction in C. elegans）</news:title>
   <news:publication_date>2026-08-24T21:56:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726870</loc>
  <lastmod>2026-08-24T21:56:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2次元ラジアルcine MRIに対する時空間スライス学習によるアンダーサンプリングアーチファクト低減（Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Training Data）</news:title>
   <news:publication_date>2026-08-24T21:56:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726868</loc>
  <lastmod>2026-08-24T21:55:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長期の視覚的自己位置推定のためのマッチング可能な画像変換の学習（Learning Matchable Image Transformations for Long-term Metric Visual Localization）</news:title>
   <news:publication_date>2026-08-24T21:55:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T21:55:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepCloudによるデータ駆動生成デザイン（DeepCloud）</news:title>
   <news:publication_date>2026-08-24T21:55:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726864</loc>
  <lastmod>2026-08-24T21:54:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転の確率的回帰とクォータニオン平均を用いた深層マルチヘッドネットワーク（Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network）</news:title>
   <news:publication_date>2026-08-24T21:54:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726862</loc>
  <lastmod>2026-08-24T21:03:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BIRADS特徴を組み込んだ半教師あり深層学習による乳房超音波診断の実用化展望（BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis）</news:title>
   <news:publication_date>2026-08-24T21:03:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726860</loc>
  <lastmod>2026-08-24T21:03:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多モーダルスパース分類器による思春期脳年齢推定（Multimodal Sparse Classifier for Adolescent Brain Age Prediction）</news:title>
   <news:publication_date>2026-08-24T21:03:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726858</loc>
  <lastmod>2026-08-24T21:02:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知遷移モデル下の決定的MDPにおける効率的かつ安全な探索（Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models）</news:title>
   <news:publication_date>2026-08-24T21:02:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726856</loc>
  <lastmod>2026-08-24T21:01:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適な情報隠蔽機構を機械学習で設計する（Optimal Obfuscation Mechanisms via Machine Learning）</news:title>
   <news:publication_date>2026-08-24T21:01:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726854</loc>
  <lastmod>2026-08-24T21:01:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的最適処置配分（Dynamically Optimal Treatment Allocation）</news:title>
   <news:publication_date>2026-08-24T21:01:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726852</loc>
  <lastmod>2026-08-24T21:01:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Updates-Leak: オンライン学習におけるデータ漏洩攻撃の実態（Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning）</news:title>
   <news:publication_date>2026-08-24T21:01:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726850</loc>
  <lastmod>2026-08-24T21:01:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン・オフライン実験による方策探索のベイズ最適化（Bayesian Optimization for Policy Search via Online-Offline Experimentation）</news:title>
   <news:publication_date>2026-08-24T21:01:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726848</loc>
  <lastmod>2026-08-24T20:09:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチタスク・ソフトオプション学習（Multitask Soft Option Learning）</news:title>
   <news:publication_date>2026-08-24T20:09:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726846</loc>
  <lastmod>2026-08-24T20:09:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Equivariant Multi-View Networks（Equivariant Multi-View Networks）</news:title>
   <news:publication_date>2026-08-24T20:09:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726844</loc>
  <lastmod>2026-08-24T20:08:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索停止を学習する手法とその意義（Learning to Stop in Structured Prediction for Neural Machine Translation）</news:title>
   <news:publication_date>2026-08-24T20:08:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726842</loc>
  <lastmod>2026-08-24T20:07:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>領域的同質性による防御モデル転倒を狙う攻撃（Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses）</news:title>
   <news:publication_date>2026-08-24T20:07:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726840</loc>
  <lastmod>2026-08-24T20:07:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模バッチ最適化による高速BERT学習（Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes）</news:title>
   <news:publication_date>2026-08-24T20:07:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726838</loc>
  <lastmod>2026-08-24T20:07:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterにおける感情分析の分散表現アプローチ（Twitter Sentiment Analysis using Distributed Word and Sentence Representation）</news:title>
   <news:publication_date>2026-08-24T20:07:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726836</loc>
  <lastmod>2026-08-24T20:07:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遺伝的に進化させたガウスカーネルによる感情分析（SENTIMENT ANALYSIS WITH GENETICALLY EVOLVED GAUSSIAN KERNELS）</news:title>
   <news:publication_date>2026-08-24T20:07:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726834</loc>
  <lastmod>2026-08-24T19:15:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>導かれたメタ・ポリシー探索（Guided Meta-Policy Search）</news:title>
   <news:publication_date>2026-08-24T19:15:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726832</loc>
  <lastmod>2026-08-24T19:15:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット自己監督による物体セグメンテーション（Robot-Supervised Learning for Object Segmentation）</news:title>
   <news:publication_date>2026-08-24T19:15:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726830</loc>
  <lastmod>2026-08-24T19:14:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートビルディングにおける機械学習とビッグデータの活用（Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey）</news:title>
   <news:publication_date>2026-08-24T19:14:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726828</loc>
  <lastmod>2026-08-24T19:13:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LUTNetが示すFPGAソフトロジック再考（LUTNet: Rethinking Inference in FPGA Soft Logic）</news:title>
   <news:publication_date>2026-08-24T19:13:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726826</loc>
  <lastmod>2026-08-24T19:13:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習による肺炎の早期診断 (Early Diagnosis of Pneumonia with Deep Learning)</news:title>
   <news:publication_date>2026-08-24T19:13:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726824</loc>
  <lastmod>2026-08-24T19:13:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-24T19:13:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726822</loc>
  <lastmod>2026-08-24T19:13:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散メトロポリスサンプラーと最適並列性（Distributed Metropolis Sampler with Optimal Parallelism）</news:title>
   <news:publication_date>2026-08-24T19:13:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726820</loc>
  <lastmod>2026-08-24T18:21:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SAS画像セグメンテーションにおける可能性主義的手法の比較（Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation）</news:title>
   <news:publication_date>2026-08-24T18:21:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726818</loc>
  <lastmod>2026-08-24T18:21:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コードスタイル自動修正ツールの実務的意義（STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms）</news:title>
   <news:publication_date>2026-08-24T18:21:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726816</loc>
  <lastmod>2026-08-24T18:20:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>略語の文脈解読を完全自動化する手法（Unsupervised Abbreviation Disambiguation）</news:title>
   <news:publication_date>2026-08-24T18:20:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726814</loc>
  <lastmod>2026-08-24T18:20:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット視覚のための軽量マルチタスク指標の提案（The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots）</news:title>
   <news:publication_date>2026-08-24T18:20:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726812</loc>
  <lastmod>2026-08-24T18:20:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D 深層学習の頑健性（Robustness of 3D Deep Learning in an Adversarial Setting）</news:title>
   <news:publication_date>2026-08-24T18:20:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726810</loc>
  <lastmod>2026-08-24T18:19:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>球面上のU-Netが脳表面解析を変える（Spherical U-Net on Cortical Surfaces: Methods and Applications）</news:title>
   <news:publication_date>2026-08-24T18:19:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726808</loc>
  <lastmod>2026-08-24T18:19:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波ブラインドスティックによる自立支援（Ultrasonic Blind Stick For Completely Blind People To Avoid Any Kind Of Obstacles）</news:title>
   <news:publication_date>2026-08-24T18:19:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726806</loc>
  <lastmod>2026-08-24T17:27:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>表面科学と触媒における原子スケール機械学習の実装（An Atomistic Machine Learning Package for Surface Science and Catalysis）</news:title>
   <news:publication_date>2026-08-24T17:27:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726804</loc>
  <lastmod>2026-08-24T17:27:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Key.Netによる特徴点検出の再考（Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters）</news:title>
   <news:publication_date>2026-08-24T17:27:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726802</loc>
  <lastmod>2026-08-24T17:26:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中間特徴空間を制限することで実現する敵対的防御（Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-24T17:26:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726800</loc>
  <lastmod>2026-08-24T17:25:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意義に応じた情報ボトルネックによるドメイン適応セマンティックセグメンテーション（Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-24T17:25:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726798</loc>
  <lastmod>2026-08-24T17:25:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的残差粗視化（Adversarial-Residual-Coarse-Graining）</news:title>
   <news:publication_date>2026-08-24T17:25:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726796</loc>
  <lastmod>2026-08-24T17:25:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Tree Search Networkによるスパース回帰の革新（Tree Search Network for Sparse Regression）</news:title>
   <news:publication_date>2026-08-24T17:25:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726794</loc>
  <lastmod>2026-08-24T17:25:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フィルタの非線形集約による画像ノイズ除去の改善（Non-linear aggregation of filters to improve image denoising）</news:title>
   <news:publication_date>2026-08-24T17:25:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726792</loc>
  <lastmod>2026-08-24T16:33:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習を組み込む安全クリティカルシステムの工学的課題（Engineering problems in machine learning systems）</news:title>
   <news:publication_date>2026-08-24T16:33:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726790</loc>
  <lastmod>2026-08-24T16:33:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DefectNetによる不均衡データ上の多クラス欠陥検出（DEFECTNET: MULTI-CLASS FAULT DETECTION ON HIGHLY-IMBALANCED DATASETS）</news:title>
   <news:publication_date>2026-08-24T16:33:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726788</loc>
  <lastmod>2026-08-24T16:32:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>密集領域における精密検出の手法（Precise Detection in Densely Packed Scenes）</news:title>
   <news:publication_date>2026-08-24T16:32:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726786</loc>
  <lastmod>2026-08-24T16:31:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>果物認識のための畳み込みニューラルネットワークによる分類器の実装（Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm）</news:title>
   <news:publication_date>2026-08-24T16:31:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726784</loc>
  <lastmod>2026-08-24T16:31:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>話者不均衡な音声コーパスを用いたマルチスピーカニューラル音声合成の学習 (Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora)</news:title>
   <news:publication_date>2026-08-24T16:31:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726782</loc>
  <lastmod>2026-08-24T16:31:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>COCO TSによる実画像注釈生成で変わるシーンテキスト分割（COCO TS Dataset: Pixel–level Annotations Based on Weak Supervision for Scene Text Segmentation）</news:title>
   <news:publication_date>2026-08-24T16:31:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726780</loc>
  <lastmod>2026-08-24T16:31:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深度認識型ビデオフレーム補間（Depth-Aware Video Frame Interpolation）</news:title>
   <news:publication_date>2026-08-24T16:31:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726778</loc>
  <lastmod>2026-08-24T15:39:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味を持つエッジで追う単眼カメラ位置推定（Semantic Nearest Neighbor Fields for Monocular Edge Visual-Odometry）</news:title>
   <news:publication_date>2026-08-24T15:39:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726776</loc>
  <lastmod>2026-08-24T15:39:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TG-PSMによるトラフィック変形と追跡防止（Tunable Greedy Packet Sequence Morphing Based on Trace Clustering）</news:title>
   <news:publication_date>2026-08-24T15:39:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726774</loc>
  <lastmod>2026-08-24T15:38:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANをGANで学習する試み（GAN You Do the GAN GAN?）</news:title>
   <news:publication_date>2026-08-24T15:38:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726772</loc>
  <lastmod>2026-08-24T15:38:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テレコムにおける顧客解約予測（Customer churn prediction in telecom using machine learning in big data platform）</news:title>
   <news:publication_date>2026-08-24T15:38:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726770</loc>
  <lastmod>2026-08-24T15:38:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラウドと機械を組み合わせた多項目スクリーニング（Combining Crowd and Machines for Multi-predicate Item Screening）</news:title>
   <news:publication_date>2026-08-24T15:38:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726768</loc>
  <lastmod>2026-08-24T15:38:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>JSIS3Dによる3D点群の意味・個体同時分割（JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds）</news:title>
   <news:publication_date>2026-08-24T15:38:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726766</loc>
  <lastmod>2026-08-24T15:37:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム化多チャネルによる敵対的攻撃耐性の強化（Defending against adversarial attacks by randomized diversification）</news:title>
   <news:publication_date>2026-08-24T15:37:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726764</loc>
  <lastmod>2026-08-24T14:46:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム特徴の力と限界（On the Power and Limitations of Random Features for Understanding Neural Networks）</news:title>
   <news:publication_date>2026-08-24T14:46:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726762</loc>
  <lastmod>2026-08-24T14:34:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人工衛星画像における建造物計数の深層学習と注意重み付け（DEEP BUILT-STRUCTURE COUNTING IN SATELLITE IMAGERY USING ATTENTION BASED RE-WEIGHTING）</news:title>
   <news:publication_date>2026-08-24T14:34:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726760</loc>
  <lastmod>2026-08-24T14:26:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一屋外画像からのエンドツーエンドタイムラプス生成（End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image）</news:title>
   <news:publication_date>2026-08-24T14:26:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726758</loc>
  <lastmod>2026-08-24T14:25:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチホップ知識経路で人間の欲求を解き明かす（Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs）</news:title>
   <news:publication_date>2026-08-24T14:25:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726756</loc>
  <lastmod>2026-08-24T14:25:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内容重み付け深層画像圧縮（Learning Content-Weighted Deep Image Compression）</news:title>
   <news:publication_date>2026-08-24T14:25:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726754</loc>
  <lastmod>2026-08-24T14:24:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Learn2MACによるURLLC向けオンライン学習型多元接続（Learn2MAC: Online Learning Multiple Access for URLLC Applications）</news:title>
   <news:publication_date>2026-08-24T14:24:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726752</loc>
  <lastmod>2026-08-24T14:24:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適化を使った確率モデル推論の頑健化（Robust Optimisation Monte Carlo）</news:title>
   <news:publication_date>2026-08-24T14:24:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726750</loc>
  <lastmod>2026-08-24T13:33:27Z</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>2026-08-24T13:33:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726748</loc>
  <lastmod>2026-08-24T13:33:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床時系列解析における転移学習の実践的示唆（Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-24T13:33:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726746</loc>
  <lastmod>2026-08-24T13:33:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模交通標識検出・認識のための深層学習（Deep Learning for Large-Scale Traffic-Sign Detection and Recognition）</news:title>
   <news:publication_date>2026-08-24T13:33:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726744</loc>
  <lastmod>2026-08-24T13:32:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザー生成コンテンツにおける音楽エンティティ認識 (Recognizing Musical Entities in User-generated Content)</news:title>
   <news:publication_date>2026-08-24T13:32:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726742</loc>
  <lastmod>2026-08-24T13:32:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制御可能な特徴空間による画像復元（CFSNet: Toward a Controllable Feature Space for Image Restoration）</news:title>
   <news:publication_date>2026-08-24T13:32:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726740</loc>
  <lastmod>2026-08-24T13:32:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インターネット画像から視覚オブジェクトを収穫する手法（Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment）</news:title>
   <news:publication_date>2026-08-24T13:32:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726738</loc>
  <lastmod>2026-08-24T13:31:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像の反射（リフレクション）除去におけるミスアライメント学習とネットワーク強化（Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements）</news:title>
   <news:publication_date>2026-08-24T13:31:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726736</loc>
  <lastmod>2026-08-24T12:40:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Med3Dによる3D医療画像解析の転移学習の要点（MED3D: TRANSFER LEARNING FOR 3D MEDICAL IMAGE ANALYSIS）</news:title>
   <news:publication_date>2026-08-24T12:40:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726734</loc>
  <lastmod>2026-08-24T12:30:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間時間メモリネットワークによる動画物体セグメンテーション（Video Object Segmentation using Space-Time Memory Networks）</news:title>
   <news:publication_date>2026-08-24T12:30:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726732</loc>
  <lastmod>2026-08-24T12:29:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個々のユニットが果たす相対的寄与の可視化（Relative Attributing Propagation）</news:title>
   <news:publication_date>2026-08-24T12:29:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726730</loc>
  <lastmod>2026-08-24T12:28:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ResUNet-aによる高解像度空中画像の意味セグメンテーション（ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data）</news:title>
   <news:publication_date>2026-08-24T12:28:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726728</loc>
  <lastmod>2026-08-24T12:28:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模エネルギー収穫ネットワークの分散電力制御（Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach）</news:title>
   <news:publication_date>2026-08-24T12:28:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726726</loc>
  <lastmod>2026-08-24T12:28:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>組合せ埋め込みネットワークによる深層グラフマッチングの学習（Learning Combinatorial Embedding Networks for Deep Graph Matching）</news:title>
   <news:publication_date>2026-08-24T12:28:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726724</loc>
  <lastmod>2026-08-24T12:27:47Z</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>2026-08-24T12:27:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/726722</loc>
  <lastmod>2026-08-24T11:36:25Z</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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   <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:publication_date>2026-08-24T11:34:47Z</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>2026-08-24T11:34:42Z</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>
   <news:title>複数ソースの弱教師付き学習による注目領域検出（Multi-source weak supervision for saliency detection）</news:title>
   <news:publication_date>2026-08-24T11:34:22Z</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>
   </news:publication>
   <news:title>高次元ハイパースペクトル画像の深層クラスタリングとクラス内距離制約（Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images）</news:title>
   <news:publication_date>2026-08-24T11:33:32Z</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>マルチビュー疎再構成同調埋め込みによる次元削減（Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction）</news:title>
   <news:publication_date>2026-08-24T11:32:03Z</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>セグメンテーション協調による弱教師付き物体検出（Weakly Supervised Object Detection with Segmentation Collaboration）</news:title>
   <news:publication_date>2026-08-24T10:39:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726706</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>階層型自己符号化器による階層的画像圧縮（Layered Image Compression using Scalable Auto-encoder）</news:title>
   <news:publication_date>2026-08-24T10:29:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726704</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>不完全データに対する差分位相コントラストCTの深層学習再構成フレームワーク（A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography with Incomplete Data）</news:title>
   <news:publication_date>2026-08-24T10:17:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726702</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>部分的な人物再識別における可視性認識型部位特徴学習（Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identiﬁcation）</news:title>
   <news:publication_date>2026-08-24T10:17:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726700</loc>
  <lastmod>2026-08-24T10:17:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニュースメディアの信頼性と政治的イデオロギーを同時に推定する手法（Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media）</news:title>
   <news:publication_date>2026-08-24T10:17:35Z</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>
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   <news:publication_date>2026-08-24T10:17:12Z</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>実世界単一画像超解像の新基準と新モデル（Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model）</news:title>
   <news:publication_date>2026-08-24T09:25:04Z</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>時空間アンサンブル学習と予測不確実性の校正（Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty）</news:title>
   <news:publication_date>2026-08-24T09:24:53Z</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>非同期マニータスキングランタイムの比較研究（A Comparative Study of Asynchronous Many–Tasking Runtimes: Cilk, Charm++, ParalleX and AM++）</news:title>
   <news:publication_date>2026-08-24T09:24:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T09:24:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二相流レジーム予測に向けたLSTMベース深層再帰型ニューラルネットワーク（Two-phase flow regime prediction using LSTM based deep recurrent neural network）</news:title>
   <news:publication_date>2026-08-24T09:24:04Z</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>野菜切断タスクの意味的埋め込み空間の学習（Learning Semantic Embedding Spaces for Slicing Vegetables）</news:title>
   <news:publication_date>2026-08-24T09:23:52Z</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>
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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>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T08:25:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>WiFiで人体を「見る」技術の衝撃（Person-in-WiFi: Fine-grained Person Perception using WiFi）</news:title>
   <news:publication_date>2026-08-24T08:25:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726678</loc>
  <lastmod>2026-08-24T08:25:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パーツ単位で生成するGANの設計と意義（COCO-GAN: Generation by Parts via Conditional Coordinating）</news:title>
   <news:publication_date>2026-08-24T08:25:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726676</loc>
  <lastmod>2026-08-24T08:23:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>類似ダイナミクスをもつロボット間の知識転移による高精度即興軌道追従 (Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking)</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T08:23:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境との相互作用が不可欠である分離表現学習の再定義（Symmetry-Based Disentangled Representation Learning requires Interaction with Environments）</news:title>
   <news:publication_date>2026-08-24T08:23:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T08:23:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バイアス制御を組み込んだ敵対的学習による人物再識別の改良（Person Re-identification with Bias-controlled Adversarial Training）</news:title>
   <news:publication_date>2026-08-24T08:23:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T07:30:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>署名認証を一変させるSiamese-CNN手法（OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification）</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>
   <news:title>ルール制約付き深層強化学習によるレーンチェンジ意思決定（Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726666</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>MortonNetによる点群の自己教師あり局所特徴学習（MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds）</news:title>
   <news:publication_date>2026-08-24T07:30:18Z</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>2026-08-24T07:30:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T07:29:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒト視覚に着想を得た注意機構で知覚重視型超解像の損失指標を改善する（A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T07:29:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電圧品質時系列分類における畳み込みニューラルネットワーク（Voltage Quality Time Series Classification using Convolutional Neural Network）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T07:29:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしで安定な3Dキーポイントを学習する手法の要点（USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds）</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>
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   <news:title>高次元データの非パラメトリック密度推定（Nonparametric Density Estimation for High-Dimensional Data – Algorithms and Applications）</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>
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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>2026-08-24T06:37:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T06:37:12Z</lastmod>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を考慮する機械翻訳（Machine translation considering context information using Encoder-Decoder model）</news:title>
   <news:publication_date>2026-08-24T06:37:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </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>2026-08-24T06:37:00Z</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>EE-AEによる排他性強化型自己符号化器（EE-AE: Exclusivity Enhanced Autoencoder）</news:title>
   <news:publication_date>2026-08-24T06:36:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>定常時系列の非パラメトリック漸近解析（Asymptotic nonparametric statistical analysis of stationary time series）</news:title>
   <news:publication_date>2026-08-24T06:36:38Z</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>連続的年齢解析の普遍的変分フレームワーク（UVA: A Universal Variational Framework for Continuous Age Analysis）</news:title>
   <news:publication_date>2026-08-24T05:45:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </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>2026-08-24T05:44:53Z</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>2026-08-24T05:44:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T05:44:20Z</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>2026-08-24T05:44:20Z</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>音楽と画像の感情対応学習（LEARNING AFFECTIVE CORRESPONDENCE BETWEEN MUSIC AND IMAGE）</news:title>
   <news:publication_date>2026-08-24T05:44:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T05:44:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習と多次元表現による不整脈検出（On Arrhythmia Detection by Deep Learning and Multidimensional Representation）</news:title>
   <news:publication_date>2026-08-24T05:44:09Z</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>
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   <news:publication_date>2026-08-24T05:43:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726628</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>座標と支配方程式のデータ駆動発見（Data-driven discovery of coordinates and governing equations）</news:title>
   <news:publication_date>2026-08-24T04:52:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726626</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>2026-08-24T04:51:53Z</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>線形構造系における入力・状態の同時推定を可能にするGPLFM（A Gaussian Process Latent Force Model for Joint Input-State Estimation in Linear Structural Systems）</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>
   <news:title>最小限監視の構造化学習によるニューラル関係抽出（Structured Minimally Supervised Learning for Neural Relation Extraction）</news:title>
   <news:publication_date>2026-08-24T04:51:23Z</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>データ駆動学習に基づくモデル予測制御の合成（Synthesis of model predictive control based on data-driven learning）</news:title>
   <news:publication_date>2026-08-24T04:51:11Z</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>
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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>
   </news:publication>
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   <news:publication_date>2026-08-24T04:00:00Z</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>原子核質量の統計的学習可能性（Statistical learnability of nuclear masses）</news:title>
   <news:publication_date>2026-08-24T03:59:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726610</loc>
  <lastmod>2026-08-24T03:59:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未対応点群の実スキャン補完を可能にした手法（Unpaired Point Cloud Completion on Real Scans Using Adversarial Training）</news:title>
   <news:publication_date>2026-08-24T03:59:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726608</loc>
  <lastmod>2026-08-24T03:59:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GraSPyによるグラフ統計ライブラリ（GraSPy: Graph Statistics in Python）</news:title>
   <news:publication_date>2026-08-24T03:59:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726606</loc>
  <lastmod>2026-08-24T03:59:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>仮説検定によるブラックボックスモデルの解釈（Interpreting Black Box Models via Hypothesis Testing）</news:title>
   <news:publication_date>2026-08-24T03:59:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726604</loc>
  <lastmod>2026-08-24T03:58:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SE2Net: エッジ強調による顕著物体検出の改良（SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection）</news:title>
   <news:publication_date>2026-08-24T03:58:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726602</loc>
  <lastmod>2026-08-24T03:58:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張ディスク銀河探索（The Extended Disk Galaxy Exploration Science Survey）</news:title>
   <news:publication_date>2026-08-24T03:58:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726600</loc>
  <lastmod>2026-08-24T03:06:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子生成対向ネットワークによる確率分布の学習とロード（Quantum Generative Adversarial Networks for Learning and Loading Random Distributions）</news:title>
   <news:publication_date>2026-08-24T03:06:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726598</loc>
  <lastmod>2026-08-24T03:06:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層強化学習による高速道路自動運転の実用性（Autonomous Highway Driving using Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-24T03:06:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726596</loc>
  <lastmod>2026-08-24T03:05:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NetKet: 多体系量子系のための機械学習ツールキット (NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems)</news:title>
   <news:publication_date>2026-08-24T03:05:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726594</loc>
  <lastmod>2026-08-24T03:05:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子–イオン衝突器が拓く核内パートン分布の精密化（Nuclear Parton Distributions from Lepton-Nucleus Scattering and the Impact of an Electron-Ion Collider）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726592</loc>
  <lastmod>2026-08-24T03:04:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>早期時系列分類のためのRAPID（RAPID: Real-time Automated Photometric IDentification）</news:title>
   <news:publication_date>2026-08-24T03:04:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726590</loc>
  <lastmod>2026-08-24T03:04:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模ミニバッチでの高速学習と精度維持の両立（Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds）</news:title>
   <news:publication_date>2026-08-24T03:04:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726588</loc>
  <lastmod>2026-08-24T03:03:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>野生データによる破局的忘却の克服（Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild）</news:title>
   <news:publication_date>2026-08-24T03:03:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-24T02:12:05Z</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>
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 </url>
 <url>
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  <lastmod>2026-08-24T02:11:53Z</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>2026-08-24T02:11:53Z</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:title>意味知識を取り込んだゼロショットテキスト分類（Integrating Semantic Knowledge to Tackle Zero-shot Text Classification）</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-08-24T02:09:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-24T02:09:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726578</loc>
  <lastmod>2026-08-24T02:09:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原子核における短距離相関のAb initio評価（Ab initio short-range-correlation scaling factors from light to medium-mass nuclei）</news:title>
   <news:publication_date>2026-08-24T02:09:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726576</loc>
  <lastmod>2026-08-24T02:09:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多クラスロジスティック回帰ネットワークの収束証明（A Proof of Convergence of Multi-Class Logistic Regression Network）</news:title>
   <news:publication_date>2026-08-24T02:09:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726574</loc>
  <lastmod>2026-08-24T02:09:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>柔軟フィラメントの懸濁手法（Methods for suspensions of passive and active filaments）</news:title>
   <news:publication_date>2026-08-24T02:09:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726572</loc>
  <lastmod>2026-08-24T01:17:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ構造を活かす局所活性化関数の設計（Invariance-Preserving Localized Activation Functions for Graph Neural Networks）</news:title>
   <news:publication_date>2026-08-24T01:17:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726570</loc>
  <lastmod>2026-08-24T01:09:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>偽陽性制御ラッソ（The False Positive Control Lasso）</news:title>
   <news:publication_date>2026-08-24T01:09:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726568</loc>
  <lastmod>2026-08-24T01:09:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極めて遠方の銀河で制約するダークマターモデル（Constraining Dark Matter models with extremely distant galaxies）</news:title>
   <news:publication_date>2026-08-24T01:09:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726566</loc>
  <lastmod>2026-08-24T01:08:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>印刷写真を使ったカラーカンスタンシーデータセット生成（CroP: Color Constancy Benchmark Dataset Generator）</news:title>
   <news:publication_date>2026-08-24T01:08:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726564</loc>
  <lastmod>2026-08-24T01:07:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的堅牢性とモデル圧縮を両立する道（Adversarial Robustness vs. Model Compression, or Both?）</news:title>
   <news:publication_date>2026-08-24T01:07:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726562</loc>
  <lastmod>2026-08-24T01:07:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>論理プログラムによる関係表現学習（Learning Relational Representations with Auto-encoding Logic Programs）</news:title>
   <news:publication_date>2026-08-24T01:07:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726560</loc>
  <lastmod>2026-08-24T01:07:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前処理を減らし現場データで強くなる前進：T2強調MRIにおける前立腺領域分割のクロスデータセット評価（CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study）</news:title>
   <news:publication_date>2026-08-24T01:07:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726558</loc>
  <lastmod>2026-08-24T00:15:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感覚データの確率的予測と生成的敵対ネットワーク（Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks – ForGAN）</news:title>
   <news:publication_date>2026-08-24T00:15:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726556</loc>
  <lastmod>2026-08-24T00:15:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少ないデータでより学ぶ：GANベースの医療画像拡張（Learning More with Less: GAN-based Medical Image Augmentation）</news:title>
   <news:publication_date>2026-08-24T00:15:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726554</loc>
  <lastmod>2026-08-24T00:14:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一ビットADCs環境下のMIMO受信での頑健なデータ検出（Robust Data Detection for MIMO Systems with One-Bit ADCs: A Reinforcement Learning Approach）</news:title>
   <news:publication_date>2026-08-24T00:14:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726552</loc>
  <lastmod>2026-08-24T00:14:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>任意のぼかしカーネルに対応する深層プラグアンドプレイス超解像（Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels）</news:title>
   <news:publication_date>2026-08-24T00:14:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726550</loc>
  <lastmod>2026-08-24T00:14:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トピック語の再ランク付けによる解釈性向上（Re-Ranking Words to Improve Interpretability of Automatically Generated Topics）</news:title>
   <news:publication_date>2026-08-24T00:14:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726548</loc>
  <lastmod>2026-08-24T00:14:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>静電容量式心電図の雑音除去のための深層ニューラルネットワーク（Deep Network for Capacitive ECG Denoising）</news:title>
   <news:publication_date>2026-08-24T00:14:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726546</loc>
  <lastmod>2026-08-24T00:13:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層残差ネットワークに対する証明可能な防御（A Provable Defense for Deep Residual Networks）</news:title>
   <news:publication_date>2026-08-24T00:13:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726544</loc>
  <lastmod>2026-08-23T23:22:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳を模した深層再帰強化学習による模擬自動運転エージェント（Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent）</news:title>
   <news:publication_date>2026-08-23T23:22:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726542</loc>
  <lastmod>2026-08-23T23:22:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FPGA内蔵ECCによるアンダーボルティング障害の緩和評価（Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults）</news:title>
   <news:publication_date>2026-08-23T23:22:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726540</loc>
  <lastmod>2026-08-23T23:22:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反射材を含む合成画像での物体検出器の学習（Training Object Detectors on Synthetic Images Containing Reflecting Materials）</news:title>
   <news:publication_date>2026-08-23T23:22:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726538</loc>
  <lastmod>2026-08-23T23:21:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>被験者横断の転移学習による人体行動認識（Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-08-23T23:21:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726536</loc>
  <lastmod>2026-08-23T23:21:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非対称深層意味量子化による画像検索（Asymmetric Deep Semantic Quantization for Image Retrieval）</news:title>
   <news:publication_date>2026-08-23T23:21:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726534</loc>
  <lastmod>2026-08-23T23:21:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MLとシステム研究の新境地（MLSys: The New Frontier of Machine Learning Systems）</news:title>
   <news:publication_date>2026-08-23T23:21:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726532</loc>
  <lastmod>2026-08-23T23:20:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所的アプローチによる前方モデル学習：ライフゲームでの成果（A Local Approach to Forward Model Learning: Results on the Game of Life Game）</news:title>
   <news:publication_date>2026-08-23T23:20:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726530</loc>
  <lastmod>2026-08-23T22:28:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レーダー測定に基づく深層空間一貫占有地図（Deep, spatially coherent Occupancy Maps based on Radar Measurements）</news:title>
   <news:publication_date>2026-08-23T22:28:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726528</loc>
  <lastmod>2026-08-23T22:28:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>市場操作をセキュリティ問題として捉える（Market Manipulation as a Security Problem）</news:title>
   <news:publication_date>2026-08-23T22:28:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726526</loc>
  <lastmod>2026-08-23T22:28:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン多目的回帰決定木と積み重ねリーフモデル（Online Multi-target regression trees with stacked leaf models）</news:title>
   <news:publication_date>2026-08-23T22:28:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726524</loc>
  <lastmod>2026-08-23T22:27:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不確かさを扱う証拠理論的深層逆センサモデル（Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework）</news:title>
   <news:publication_date>2026-08-23T22:27:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726522</loc>
  <lastmod>2026-08-23T22:27:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的変分から決定的オートエンコーダへ（From Variational to Deterministic Autoencoders）</news:title>
   <news:publication_date>2026-08-23T22:27:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726520</loc>
  <lastmod>2026-08-23T22:27:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BaTiO3における強誘電体間転移の中間スケール起源（Mesoscopic Origin of Ferroelectric-Ferroelectric Transition in BaTiO3）</news:title>
   <news:publication_date>2026-08-23T22:27:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726518</loc>
  <lastmod>2026-08-23T22:26:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>登場人物の感情関係を機械に学習させる方法（Learning to Classify Emotional Relationships of Fictional Characters）</news:title>
   <news:publication_date>2026-08-23T22:26:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726516</loc>
  <lastmod>2026-08-23T21:35:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合分布を用いたオンライン分散削減（Online Variance Reduction with Mixtures）</news:title>
   <news:publication_date>2026-08-23T21:35:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726514</loc>
  <lastmod>2026-08-23T21:25:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声からの感情予測に対する注意機構付きエンドツーエンド多重課題学習（ATTENTION-AUGMENTED END-TO-END MULTI-TASK LEARNING FOR EMOTION PREDICTION FROM SPEECH）</news:title>
   <news:publication_date>2026-08-23T21:25:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726512</loc>
  <lastmod>2026-08-23T21:25:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分微分方程式に基づく家畜データ同化のための統計学習ツール（An innovative Statistical Learning Tool based on Partial Differential Equations for livestock Data Assimilation）</news:title>
   <news:publication_date>2026-08-23T21:25:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726510</loc>
  <lastmod>2026-08-23T21:25:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バグ報告の重複検出とクラスタリングを同時に学習する手法（Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering）</news:title>
   <news:publication_date>2026-08-23T21:25:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726508</loc>
  <lastmod>2026-08-23T21:24:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フェルミラブの高速サイクロトロン導入による2.4MW化の設計（Rapid-Cycling Synchrotron for Multi-Megawatt Proton Facility at Fermilab）</news:title>
   <news:publication_date>2026-08-23T21:24:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726506</loc>
  <lastmod>2026-08-23T21:24:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Snore-GANsによるいびき音分類のための合成データ増強（Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data）</news:title>
   <news:publication_date>2026-08-23T21:24:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726504</loc>
  <lastmod>2026-08-23T21:24:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MCTSに基づく自動交渉エージェント（MCTS-based Automated Negotiation Agent）</news:title>
   <news:publication_date>2026-08-23T21:24:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726502</loc>
  <lastmod>2026-08-23T20:33:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト読み上げと声質変換の統合学習（Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet）</news:title>
   <news:publication_date>2026-08-23T20:33:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726500</loc>
  <lastmod>2026-08-23T20:24:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前知識を組み込む「Informed Machine Learning」の体系化（Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems）</news:title>
   <news:publication_date>2026-08-23T20:24:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726498</loc>
  <lastmod>2026-08-23T20:24:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少量学習を用いた深層敵対的学習による動画ベース人物再識別（Few-Shot Deep Adversarial Learning for Video-based Person Re-identification）</news:title>
   <news:publication_date>2026-08-23T20:24:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726496</loc>
  <lastmod>2026-08-23T20:23:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトル損失を用いたニューラル音声波形モデルの訓練（Training a Neural Speech Waveform Model using Spectral Losses of Short-Time Fourier Transform and Continuous Wavelet Transform）</news:title>
   <news:publication_date>2026-08-23T20:23:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726494</loc>
  <lastmod>2026-08-23T20:22:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深度情報で手と物体を分離する実時間手法（DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input）</news:title>
   <news:publication_date>2026-08-23T20:22:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726492</loc>
  <lastmod>2026-08-23T20:22:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReLUを用いた深層表現の分解と領域性（Deep Representation with ReLU Neural Networks）</news:title>
   <news:publication_date>2026-08-23T20:22:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726490</loc>
  <lastmod>2026-08-23T20:22:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MCMCベースの最尤学習によるエネルギーベースモデルの解剖（On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models）</news:title>
   <news:publication_date>2026-08-23T20:22:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726488</loc>
  <lastmod>2026-08-23T19:30:52Z</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4Dスパシオ・アングラー一貫ライトフィールド合成（Synthesizing a 4D Spatio-Angular Consistent Light Field from a Single Image）</news:title>
   <news:publication_date>2026-08-23T19:30:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726486</loc>
  <lastmod>2026-08-23T19:30:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化入力とモジュール化による学習改善（Using Structured Input and Modularity for Improved Learning）</news:title>
   <news:publication_date>2026-08-23T19:30:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726484</loc>
  <lastmod>2026-08-23T19:30:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文書からのキー情報抽出を高速にするCUTIE（CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor）</news:title>
   <news:publication_date>2026-08-23T19:30:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726482</loc>
  <lastmod>2026-08-23T19:29:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シンボル表現を学習させたニューラルネットの組合せ的汎化（Training neural networks to encode symbols enables combinatorial generalization）</news:title>
   <news:publication_date>2026-08-23T19:29:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726480</loc>
  <lastmod>2026-08-23T19:29:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FOFE-netによる知識ベース問答の簡潔かつ効果的な枠組み（A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases）</news:title>
   <news:publication_date>2026-08-23T19:29:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726478</loc>
  <lastmod>2026-08-23T19:29:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Local Aggregationによる視覚表現の教師なし学習（Local Aggregation for Unsupervised Learning of Visual Embeddings）</news:title>
   <news:publication_date>2026-08-23T19:29:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726476</loc>
  <lastmod>2026-08-23T19:28:38Z</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への方位情報付与（Lending Orientation to Neural Networks for Cross-view Geo-localization）</news:title>
   <news:publication_date>2026-08-23T19:28:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726474</loc>
  <lastmod>2026-08-23T18:37:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン専門家を対象としたユーザー中心設計による科学可視化研究（A User-centered Design Study in Scientific Visualization Targeting Domain Experts）</news:title>
   <news:publication_date>2026-08-23T18:37:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726472</loc>
  <lastmod>2026-08-23T18:37:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>食事ごとの血糖値予測の困難性（The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes）</news:title>
   <news:publication_date>2026-08-23T18:37:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726470</loc>
  <lastmod>2026-08-23T18:36:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高解像度航空画像からの建物抽出を効率化するネットワーク（ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images）</news:title>
   <news:publication_date>2026-08-23T18:36:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726468</loc>
  <lastmod>2026-08-23T18:36:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>心電図を使った生体認証のための機械学習フレームワーク（A Machine Learning Framework for Biometric Authentication using Electrocardiogram）</news:title>
   <news:publication_date>2026-08-23T18:36:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726466</loc>
  <lastmod>2026-08-23T18:36:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多変量MRIとCNNによる前立腺病変分類の深堀り（A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network）</news:title>
   <news:publication_date>2026-08-23T18:36:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726464</loc>
  <lastmod>2026-08-23T18:36:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続的注意による良質な表現学習（Learning Good Representation via Continuous Attention）</news:title>
   <news:publication_date>2026-08-23T18:36:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726462</loc>
  <lastmod>2026-08-23T17:45:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メムトランジスタ交差配列を用いたメモリ内SVMフレームワーク（Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines）</news:title>
   <news:publication_date>2026-08-23T17:45:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726460</loc>
  <lastmod>2026-08-23T17:44:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カリキュラムを用いた強化学習の改善（Improved Reinforcement Learning with Curriculum）</news:title>
   <news:publication_date>2026-08-23T17:44:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726458</loc>
  <lastmod>2026-08-23T17:44:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>暗黙的ランジュバン法による対数凸密度からのサンプリング（Implicit Langevin Algorithms for Sampling From Log-concave Densities）</news:title>
   <news:publication_date>2026-08-23T17:44:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726456</loc>
  <lastmod>2026-08-23T17:43:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚質問応答の関係認識グラフ注意ネットワーク（Relation-Aware Graph Attention Network for Visual Question Answering）</news:title>
   <news:publication_date>2026-08-23T17:43:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726454</loc>
  <lastmod>2026-08-23T17:43:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一水中マイクロホンの多周波数振幅データによる深層学習源位定位（Deep-learning source localization using multi-frequency magnitude-only data）</news:title>
   <news:publication_date>2026-08-23T17:43:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726452</loc>
  <lastmod>2026-08-23T17:43:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>閉じチャネル分率の密度依存性の観測（Observation of the density dependence of the closed-channel fraction of a 6Li superfluid）</news:title>
   <news:publication_date>2026-08-23T17:43:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726450</loc>
  <lastmod>2026-08-23T17:43:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メッシュに基づく深層強化学習ポリシーの頑健性解析（Mesh-based Tools to Analyze Deep Reinforcement Learning Policies for Underactuated Biped Locomotion）</news:title>
   <news:publication_date>2026-08-23T17:43:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726448</loc>
  <lastmod>2026-08-23T16:51:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声に基づいた単語埋め込みによるA2W音声認識の改善（ACOUSTICALLY GROUNDED WORD EMBEDDINGS FOR IMPROVED ACOUSTICS-TO-WORD SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-08-23T16:51:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726446</loc>
  <lastmod>2026-08-23T16:51:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FrameNet: 単一RGB画像からの局所正準3Dフレーム推定（FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image）</news:title>
   <news:publication_date>2026-08-23T16:51:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726444</loc>
  <lastmod>2026-08-23T16:51:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパーパラメータ選択のコスト解析と実務的示唆（An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression）</news:title>
   <news:publication_date>2026-08-23T16:51:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726442</loc>
  <lastmod>2026-08-23T16:50:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超大規模グラフ埋め込みを可能にした仕組み（PyTorch‑BigGraph: A Large-scale Graph Embedding System）</news:title>
   <news:publication_date>2026-08-23T16:50:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726440</loc>
  <lastmod>2026-08-23T16:50:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意駆動型生成対抗ネットワークによる教師なし画像変換（Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation）</news:title>
   <news:publication_date>2026-08-23T16:50:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/726438</loc>
  <lastmod>2026-08-23T16:50:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ローカル記述子に基づく画像対クラス距離の再考（Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning）</news:title>
   <news:publication_date>2026-08-23T16:50:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:title>トーラス型オートエンコーダが示す潜在空間設計の新地平（Toroidal AutoEncoder）</news:title>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
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   <news:title>画像分類のための深層スパイキング畳み込みニューラルネットワーク（Deep Convolutional Spiking Neural Networks for Image Classification）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
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   <news:title>ビット反転攻撃によるニューラルネット破壊（Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search）</news:title>
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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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   <news:title>一般的な汚損と摂動に対するニューラルネットワークの堅牢性ベンチマーク（BENCHMARKING NEURAL NETWORK ROBUSTNESS TO COMMON CORRUPTIONS AND PERTURBATIONS）</news:title>
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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>音声から電気喉頭波形への変換における敵対的近似推論（Adversarial Approximate Inference for Speech to Electroglottograph Conversion）</news:title>
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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>
   </news:publication>
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   <news:publication_date>2026-08-23T15:56:44Z</news:publication_date>
   <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>
   </news:publication>
   <news:title>iGenによる構成可能ソフトウェアの動的相互作用推論（iGen: Dynamic Interaction Inference for Configurable Software）</news:title>
   <news:publication_date>2026-08-23T15:56:37Z</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>
   <news:title>宇宙マイクロ波背景放射のバリオン密度推定と等方性解析（Baryon density extraction and isotropy analysis of Cosmic Microwave Background using Deep Learning）</news:title>
   <news:publication_date>2026-08-23T15:56:17Z</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>
   <news:title>フォルムアルデヒド深遠探査（A Formaldehyde Deep Field）</news:title>
   <news:publication_date>2026-08-23T15:04:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-23T15:04:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分的ドメイン適応のための事例転移学習（Learning to Transfer Examples for Partial Domain Adaptation）</news:title>
   <news:publication_date>2026-08-23T15:04:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <lastmod>2026-08-23T15:03:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳インターフェースの情報理論的特徴変換学習（Information Theoretic Feature Transformation Learning for Brain Interfaces）</news:title>
   <news:publication_date>2026-08-23T15:03:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-23T15:03:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>バリオンで描く：深層生成モデルを用いたガスの付加によるN体シミュレーション拡張（Painting with baryons: augmenting N-body simulations with gas using deep generative models）</news:title>
   <news:publication_date>2026-08-23T15:03:12Z</news:publication_date>
   <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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   <news:title>注釈点を活用した高精度カウント手法（Counting with Focus for Free）</news:title>
   <news:publication_date>2026-08-23T15:03:06Z</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>
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   <news:title>3D全脳セグメンテーションの空間局所化ネットワークタイル（Spatially Localized Atlas Network Tiles）</news:title>
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   <news:genres>Blog</news:genres>
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 <url>
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  <lastmod>2026-08-23T15:02:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>FaSTGANによる高速動画物体セグメンテーション（Fast video object segmentation with Spatio-Temporal GANs）</news:title>
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   <news:genres>Blog</news:genres>
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