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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)

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing IJCAI 2025 Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks IJCAI 2025 End-to-End HOI Reconstruction Transformer with Graph-based Encoding CVPR 2025 End-to-End Multi-Modal Diffusion Mamba ICCV 2025 Energy-Based Flow Matching for Generating 3D Molecular Structure ICML 2025 EnergyCompress: A General Case Base Learning Strategy IJCAI 2025 EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space CVPR 2025 Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation ICML 2025 ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts IJCNLP 2025 Enhanced H-Consistency Bounds ALT 2025 Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion IJCAI 2025 Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025 Enhanced then Progressive Fusion with View Graph for Multi-View Clustering CVPR 2025 Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025 Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary ICLR 2025 Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract) AAAI 2025 Enhancing Antimicrobial Drug Resistance Classification by Integrating Sequence-Based and Text-Based Representations ACL 2025 Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages IJCNLP 2025 Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning ACL 2025 Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning ACL 2025 Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning IJCAI 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies ICLR 2025