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Core Methods

51,083 papers (8 classified directly here)

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

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
'5
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'25

Papers (including subtopics)

Learning Multi-Level Features with Matryoshka Sparse Autoencoders ICML 2025 Learning Multiple Object States from Actions via Large Language Models WACV 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity ICCV 2025 Learning on Model Weights using Tree Experts CVPR 2025 Learning Optimal Oblique Decision Trees with (Max)SAT IJCAI 2025 Learning-Order Autoregressive Models with Application to Molecular Graph Generation ICML 2025 Learning Partial Graph Matching via Optimal Partial Transport ICLR 2025 Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation CVPR 2025 Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems CVPR 2025 Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement ICCV 2025 Learning Production Functions for Supply Chains with Graph Neural Networks AAAI 2025 Learning Real Facial Concepts for Independent Deepfake Detection IJCAI 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects ICML 2025 Learning Robust and Privacy-Preserving Representations via Information Theory AAAI 2025 Learning Robust Image Watermarking with Lossless Cover Recovery ICCV 2025 Learning Robust Multi-view Representation Using Dual-masked VAEs IJCAI 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 Learning Robust XGBoost Ensembles for Regression Tasks UAI 2025 Learning Separable Fine-Grained Representation via Dendrogram Construction from Coarse Labels for Fine-grained Visual Recognition ICCV 2025 Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation ICLR 2025 Learning Single Index Models with Diffusion Priors ICML 2025 Learning Smooth State-Dependent Traversability from Dense Point Clouds CoRL 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025