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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)

Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario AAAI 2026 Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network AAAI 2026 Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method AAAI 2026 Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026 Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion AAAI 2026 Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer AAAI 2026 Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining AAAI 2026 Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection WACV 2026 Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model AAAI 2026 ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing AAAI 2026 EpiRDN: A Learnable Anisotropic Reaction-Diffusion Network for Epidemic Time Series Prediction UAI 2026 Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization AAAI 2026 ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization CVPR 2026 Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026 Error Slice Discovery via Manifold Compactness AAAI 2026 ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering AAAI 2026 Estimating Ising Models in Total Variation Distance COLT 2026 Evaluating Morphological Plausibility of Subword Tokenization via Statistical Alignment with Morpho-Syntactic Features EACL 2026 EV-CGNet: Co-visible Focused 3D-guided 2D Event Keypoint Detection Network CVPR 2026 Event Stream Filtering via Probability Flux Estimation CVPR 2026 Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026 EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026 Exogenous Randomness Empowering Random Forests JMLR 2026 ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables AAAI 2026 Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning AAAI 2026