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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)

LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits AISTATS 2025 LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics ICLR 2025 L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation ICML 2025 LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations ACL 2025 LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining AAAI 2025 LDPose: Towards Inclusive Human Pose Estimation for Limb-Deficient Individuals in the Wild ICCV 2025 LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025 LEAF: Large Language Diffusion Model for Time Series Forecasting EMNLP 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 LeanAgent: Lifelong Learning for Formal Theorem Proving ICLR 2025 Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees ICML 2025 LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models ACL 2025 LeanK: Learnable K Cache Channel Pruning for Efficient Decoding EMNLP 2025 LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid ICLR 2025 Lean-STaR: Learning to Interleave Thinking and Proving ICLR 2025 LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models ICCV 2025 LEAPS: A discrete neural sampler via locally equivariant networks ICML 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks AAAI 2025 Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation ICCV 2025 Learnability of Parameter-Bounded Bayes Nets AAAI 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion ICLR 2025 Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025 Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond ICCV 2025 Learnable Infinite Taylor Gaussian for Dynamic View Rendering CVPR 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025