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Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5
76
533
1,651
11,133
21,167
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025 PTQ4VM: Post-Training Quantization for Visual Mamba WACV 2025 PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task ICLR 2025 PTTA: Purifying Malicious Samples for Test-Time Model Adaptation ICML 2025 Public Data Assisted Differentially Private In-Context Learning EMNLP 2025 Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction AAAI 2025 PuerAI at SemEval-2025 Task 9: Research on Food Safety Data Classification Using ModernBERT SemEval 2025 PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning EMNLP 2025 PULSE: Physiological Understanding with Liquid Signal Extraction WACV 2025 PUMPS: Skeleton-Agnostic Point-based Universal Motion Pre-Training for Synthesis in Human Motion Tasks ICCV 2025 PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension ACL 2025 Punctuation Restoration Improves Structure Understanding without Supervision NAACL 2025 PunMemeCN: A Benchmark to Explore Vision-Language Models’ Understanding of Chinese Pun Memes EMNLP 2025 PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025 PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking CVPR 2025 Pure Exploration with Feedback Graphs AISTATS 2025 PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests WACV 2025 Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025 Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount ICLR 2025 Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection ICLR 2025 Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer ICLR 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025 Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs ICML 2025 Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter AAAI 2025 Puzzle: Distillation-Based NAS for Inference-Optimized LLMs ICML 2025