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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)

Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model ICLR 2025 Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA EMNLP 2025 Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement AAAI 2025 Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models COLING 2025 Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025 RefreshKV: Updating Small KV Cache During Long-form Generation ACL 2025 REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder ICCV 2025 Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets IJCNLP 2025 Region-based Cluster Discrimination for Visual Representation Learning ICCV 2025 Region-based Content Enhancement for Efficient Video Analytics at the Edge NSDI 2025 Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025 Region-Level Data Attribution for Text-to-Image Generative Models ICCV 2025 RegMix: Data Mixture as Regression for Language Model Pre-training ICLR 2025 ReGraph: Learning to Reformulate Graph Encodings with Large Language Models IJCNLP 2025 Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models ICML 2025 Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression ICML 2025 Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control AAAI 2025 Regularization by Texts for Latent Diffusion Inverse Solvers ICLR 2025 Regularized Neural Ensemblers AutoML 2025 Regular-pattern-sensitive CRFs for Distant Label Interactions ACL 2025 Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss ICML 2025 Relational Conformal Prediction for Correlated Time Series ICML 2025 Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models AAAI 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025