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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 sparse generalized linear models with binary outcomes via iterative hard thresholding COLT 2025 Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection ICML 2025 Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators AISTATS 2025 Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport ICLR 2025 Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching ICLR 2025 Learning Structured World Models From and For Physical Interactions AAAI 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 Learning Survival Distributions with the Asymmetric Laplace Distribution ICML 2025 Learning Task Representations from In-Context Learning ACL 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Learning to Count from Pseudo-Labeled Segmentation WACV 2025 Learning to Discover Regulatory Elements for Gene Expression Prediction ICLR 2025 Learning to engineer protein flexibility ICLR 2025 Learning to Filter Outlier Edges in Global SfM CVPR 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 Learning to Help in Multi-Class Settings ICLR 2025 Learning to Insert [PAUSE] Tokens for Better Reasoning ACL 2025 Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025 Learning to Substitute Words with Model-based Score Ranking NAACL 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025 Learning Trajectories of Figurative Language for Pre-Trained Language Models EMNLP 2025 Learning Transformer-based World Models with Contrastive Predictive Coding ICLR 2025 Learning under Temporal Label Noise ICLR 2025 Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV 2025