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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
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'25

Papers (including subtopics)

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025 Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions ICML 2025 Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders ACL 2025 Features are fate: a theory of transfer learning in high-dimensional regression ICML 2025 Feature Selection for Latent Factor Models CVPR 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Continuous Category Discovery and Learning ICCV 2025 Federated Domain Generalization with Domain-specific Soft Prompts Generation ICCV 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Multi-view Graph Clustering with Incomplete Attribute Imputation IJCAI 2025 Federated Representation Angle Learning ICCV 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning UAI 2025