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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 from Negative Samples in Biomedical Generative Entity Linking ACL 2025 Learning from Neighbors: Category Extrapolation for Long-Tail Learning CVPR 2025 Learning from Sample Stability for Deep Clustering ICML 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Learning from Streaming Video with Orthogonal Gradients CVPR 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning from True-False Labels via Multi-modal Prompt Retrieving ICML 2025 Learning general Gaussian mixtures with efficient score matching COLT 2025 Learning Graph Node Embeddings by Smooth Pair Sampling AISTATS 2025 Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images CVPR 2025 Learning High-dimensional Gaussians from Censored Data AISTATS 2025 Learning Imbalanced Data with Beneficial Label Noise ICML 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit ICCV 2025 Learning Intersections of Two Margin Halfspaces under Factorizable Distributions COLT 2025 Learning Joint Behaviors with Large Variations AAAI 2025 Learning Language Structures Through Grounding AAAI 2025 Learning Laplacian Positional Encodings for Heterophilous Graphs AISTATS 2025 Learning LLM-as-a-Judge for Preference Alignment ICLR 2025 Learning local equivariant representations for quantum operators ICLR 2025 Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025 Learning Mask Invariant Mutual Information for Masked Image Modeling ICLR 2025 Learning Mixtures of Gaussians Using Diffusion Models COLT 2025 Learning Molecular Representation in a Cell ICLR 2025 Learning Monotonic Probabilities with a Generative Cost Model ICML 2025