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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
'10
'15
'20
'25

Papers (including subtopics)

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression MLHC 2025 A Differentiable Rank-Based Objective for Better Feature Learning ICLR 2025 A Disaggregated Dataset on English Offensiveness Containing Spans EMNLP 2025 A Distributional Perspective on Word Learning in Neural Language Models NAACL 2025 adithjrajeev at SemEval-2025 Task 10: Sequential Learning for Role Classification Using Entity-Centric News Summaries SemEval 2025 A Diverse and Effective Retrieval-Based Debt Collection System with Expert Knowledge NAACL 2025 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey ACL 2025 Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models EMNLP 2025 Advancing Chart Question Answering with Robust Chart Component Recognition WACV 2025 Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion IJCAI 2025 Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks IJCAI 2025 Advancing Graph Generation through Beta Diffusion ICLR 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution AAAI 2025 Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging CVPR 2025 Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge ICML 2025 Advancing Sequential Numerical Prediction in Autoregressive Models ACL 2025 Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings ICLR 2025 Adversarial Reconstruction Feedback for Robust Fine-grained Generalization ICCV 2025 Adversarial Robust Memory-Based Continual Learner ICCV 2025 Adversarial Training for Defense Against Label Poisoning Attacks ICLR 2025 A Dynamic Fusion Model for Consistent Crisis Response EMNLP 2025 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025