Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
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