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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
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966
4,853
5,823
2000
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Papers (including subtopics)

CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video WACV 2026 Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists EACL 2026 Can Molecular Evolution Mechanism Enhance Molecular Representation? AAAI 2026 Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method AAAI 2026 Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases (Extended Abstract) COLT 2026 CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment CVPR 2026 CART: Compositional AutoRegressive Transformer for Image Generation AAAI 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation AAAI 2026 CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026 CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding AAAI 2026 CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization CVPR 2026 CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026 Causal Importance for Physics-Informed Machine Learning CLeaR 2026 Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering AAAI 2026 Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs AAAI 2026 Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026 CCEval: Accurately and Confidently Evaluating Performance Metrics of Congestion Control Algorithms for Datacenter Networks NSDI 2026 cclin at SemEval-2026 Task 2 : SLM-Enhanced Lightweight Multi-BERT Ensemble for Longitudinal Affect Assessment SemEval 2026 CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data AAAI 2026 Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026 C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models AAAI 2026 Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting WACV 2026 Chat-Ghosting: Methods for Auto-Completion in Dialog Systems EACL 2026