arxivGitHubあり2026-09-07
CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment
Out-of-distribution (OOD) detection is critical for safe deployment of medical AI systems. Recently, test-time
自然言語処理RAG検出異常検知
- 用途
- 検出
- 難易度
- Hard
- コスト
- High
→
「Calibration」の検索結果
8 件arxivGitHubあり2026-09-07
P$^2$Calib: Utilizing Pattern Priors for LiDAR-Camera Extrinsic Calibration
Target-based LiDAR-camera extrinsic calibration is a prerequisite for multi-sensor fusion in robotics. However
センサ/時系列自然言語処理RAG画像3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivGitHubあり2026-09-03
Subspace Inference Enables Efficient Active Reward Learning from Preferences
Reinforcement learning from human feedback (RLHF) has emerged as a powerful yet sample-inefficient approach fo
少数データ向き条件最適化深層学習軽量化・量子化強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivGitHubあり2026-09-03
Abstraction Agent
Information abstraction, which groups strategically similar private states into a tractable number of buckets,
自然言語処理大規模言語モデルテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
huggingfaceHugging Faceあり2026-09-03
Principia: Relational Physics Tests for Video Models
Evaluating physical reasoning in video models is difficult because absolute motion measurements depend on fram
深層学習Transformer生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
arxivGitHubあり2026-09-02
Schrödinger Bridges on Lie Group Manifolds for Probabilistic Intrinsic Generation
Generative modeling directly on geometric manifolds can avoid errors introduced by flattening non-Euclidean da
コンピュータビジョンセグメンテーション生成回帰
- 用途
- 生成
- 難易度
- Easy
- コスト
- Medium
→
huggingfaceGitHubありHugging Faceあり2026-09-02
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improv
品質予測/異常検知自然言語処理大規模言語モデルテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceGitHubありHugging Faceあり2026-09-02
Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration
Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the associated
コンピュータビジョン画像分類画像
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Low
→