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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU Parallelism CVPR 2026 Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV AAAI 2026 OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026 Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging AAAI 2026 Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training AAAI 2026 Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models AAAI 2026 Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026 Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models EACL 2026 Out of Style: RAG’s Fragility to Linguistic Variation EACL 2026 Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain EACL 2026 Overcoming Dependent Censoring in the Evaluation of Survival Models UAI 2026 Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment WACV 2026 Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation WACV 2026 Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential COLT 2026 Over-Searching in Search-Augmented Large Language Models EACL 2026 OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection CVPR 2026 OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning AAAI 2026 OW-Rep: Open World Object Detection with Instance Representation Learning WACV 2026 OxEnsemble: Fair Ensembles for Low-Data Classification MIDL 2026 Oxytrees: Model Trees for Bipartite Learning AAAI 2026 P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026 PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses ALT 2026 PACT: Phase-Like Transition Constraints in Adapter-Based Continual Learning of Vision-Language Models CVPR 2026 PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery CVPR 2026