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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)

Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking ACL 2026 Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026 Continuous time policy evaluation is easier with noisy dynamics COLT 2026 Contrastive Conformal Sets UAI 2026 Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification WACV 2026 Contrastive Learning with Narrative Twins for Modeling Story Salience EACL 2026 Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification L4DC 2026 Convex Clustering Redefined: Robust Learning with the Median of Means Estimator AAAI 2026 Cooperative Graph Transformer with Structural Consensus for Multi-View Learning AAAI 2026 CophiWue at SemEval-2026 Task 4: Symbolic Narrative Profiling with Taxonomy-Guided Extraction and Contrastive Fine-Tuning SemEval 2026 CoreCaption: Core Caption based Text-to-Video Retrieval WACV 2026 CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation AAAI 2026 Correspondence Coverage Matters for Multi-Modal Dataset Distillation AAAI 2026 Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models EACL 2026 Cosine Similarity is Almost All You Need (for Prototypical-Part Models) WACV 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 Countering Multi-modal Representation Collapse through Rank-targeted Fusion WACV 2026 Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling EACL 2026 Covariance Scattering Transforms AAAI 2026 Coverage-Constrained Human-AI Cooperation with Multiple Experts AAAI 2026 Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams WACV 2026 Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling AAAI 2026 Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference CVPR 2026 Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering AAAI 2026 Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing AAAI 2026