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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)

Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection ICML 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Position: You Can’t Manufacture a NeRF ICML 2025 Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising CVPR 2025 PositiveCoOp: Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations WACV 2025 Positive Experience Reflection for Agents in Interactive Text Environments ACL 2025 Positive Text Reframing under Multi-strategy Optimization COLING 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation ICLR 2025 PossLoss: A Reliable and Sensitive Facial Landmark Detection Loss Function ICCV 2025 PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling ICLR 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing ICLR 2025 Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025 Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration ICLR 2025 Post-hoc Reward Calibration: A Case Study on Length Bias ICLR 2025 Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation EMNLP 2025 Post-pre-training for Modality Alignment in Vision-Language Foundation Models CVPR 2025 Post-processing for Fair Regression via Explainable SVD AISTATS 2025 PoSum-Bench: Benchmarking Position Bias in LLM-based Conversational Summarization EMNLP 2025 POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition ICLR 2025 Potential Field Based Deep Metric Learning CVPR 2025 Potentially Problematic Word Usages and How to Detect Them: A Survey EMNLP 2025