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)
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
AAAI 2026
Prediction of Hospital Associated Infections During Continuous Hospital Stays
AAAI 2026
Predictive inference for time series: why is split conformal effective despite temporal dependence?
ALT 2026
Predict, Prune, Play: Efficient Video Playback Optimization Under Device Diversity and Drift
NSDI 2026
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
AAAI 2026
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
CVPR 2026
Preference Elicitation for Step-Wise Explanations in Logic Puzzles
AAAI 2026
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
ACL 2026
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator
AAAI 2026
Preference Robustness for DPO with Applications to Public Health
AAAI 2026
Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
CVPR 2026
Pre-Trained Video Generative Models as World Simulators
AAAI 2026
Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets
WACV 2026
PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
WACV 2026
PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
AAAI 2026
Price of metric universality in vector quantization is at most 0.11 bit
COLT 2026
Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
CVPR 2026
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint)
AAAI 2026
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
AAAI 2026
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization
AAAI 2026
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning
AAAI 2026
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
AAAI 2026
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
WACV 2026
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
AAAI 2026