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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)

Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity COLT 2026 Fast Conformal Prediction Using Conditional Interquantile Intervals AAAI 2026 Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 Fast Markov Random Field Optimisation for Topologically Noisy 3D Shape Matching CVPR 2026 Fast, Parallel, Query-Efficient Binary Classification COLT 2026 FCC: Fully Connected Correlation for One-Shot Segmentation WACV 2026 Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI 2026 Feature Drift: How Fine-Tuning Repurposes Representations in LLMs EACL 2026 Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Feature Inversion as a Lens on Vision Encoders WACV 2026 Federated Graph-level Clustering Network with Attribute Inference AAAI 2026 Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint AAAI 2026 FedSST: Rethinking Fair Federated Graph Learning under Structural Shift CVPR 2026 FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026 FER at SemEval-2026 Task 6: Analysis of Different Approaches to Unmasking Political Question Evasions SemEval 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection AAAI 2026 Finding Time Series Anomalies Using Granular-Ball Vector Data Description AAAI 2026 Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection AAAI 2026 Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding AAAI 2026 Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks CVPR 2026 Fine-grained Image Quality Assessment for Perceptual Image Restoration AAAI 2026 Fine-Grained Image Retrieval via Dual-Vision Adaptation AAAI 2026 Finite Sample Bounds for Learning with Score Matching COLT 2026