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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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Papers (including subtopics)

Adaptive Forward Stepwise: A Method for High Sparsity Regression JMLR 2026 Adaptive Frequency Pathways for Spatiotemporal Forecasting AAAI 2026 Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces AAAI 2026 Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees AAAI 2026 Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation AAAI 2026 Adaptive Riemannian Graph Neural Networks AAAI 2026 A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation JMLR 2026 A Dataset and Framework for Learning State-invariant Object Representations WACV 2026 A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 A Distribution Testing Approach to Clustering Distributions COLT 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 Adversarial Fair Incomplete Multi-View Clustering AAAI 2026 Adversarial Metric Learning for Fine-Grained Emotion Classification ACL 2026 A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint) AAAI 2026 A Framework for Real-Time Surgical Phase Recognition with Application to Robot-Assisted Partial Nephrectomy WACV 2026 A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026 Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation AAAI 2026 Aggregating Diverse Cue Experts for AI-Generated Image Detection AAAI 2026 A Graph-Augmented Liquid Neural Network for Extracting Food Hazards and Disease Outbreaks EACL 2026 A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews EACL 2026 AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026 AIM: Manifold-based Data Filtering for Representation Finetuning AAAI 2026 AI-Monitors at SemEval-2026 Task 4: A Hybrid Embedding and LLM Ensemble for Narrative Similarity SemEval 2026 AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting AAAI 2026