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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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'15
'20
'25

Papers (including subtopics)

Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 Learning Group Actions In Disentangled Latent Image Representations WACV 2026 Learning Heuristic Functions for HTN Planning AAAI 2026 Learning Heuristic Functions with Graph Neural Networks for Numeric Planning AAAI 2026 Learning Intrinsic Hierarchy for Generalized Category Discovery AAAI 2026 Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026 Learning Ising Models from Evolutions (Extended Abstract) COLT 2026 Learning Label Distribution with Dirichlet Process Mixture Model AAAI 2026 Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma AAAI 2026 Learning Lineage-guided Geodesics with Finsler Geometry UAI 2026 Learning Max-Stable Representations that Extrapolate UAI 2026 Learning Network Dismantling Without Handcrafted Inputs AAAI 2026 Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling AAAI 2026 Learning Nonholonomic Dynamics with Constraint Discovery L4DC 2026 Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer AAAI 2026 Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition AAAI 2026 Learning plug-in surrogate endpoints for randomized experiments UAI 2026 Learning Protein–Ligand Binding in Hyperbolic Space AAAI 2026 Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes UAI 2026 Learning Spatial Decay for Vision Transformers AAAI 2026 Learning Spatio-temporal Feature Representations for Video-based Gaze Estimation WACV 2026 Learning Structurally Stabilized Representations for Lossless DNA Storage AAAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026 Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis AAAI 2026