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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)

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction CVPR 2023 OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions ICCV 2023 Operator Learning for Nonlinear Adaptive Control L4DC 2023 Operator Learning with Neural Fields: Tackling PDEs on General Geometries NeurIPS 2023 OPI at SemEval-2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation SemEval 2023 Opinion Tree Parsing for Aspect-based Sentiment Analysis ACL 2023 OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023 OptIForest: Optimal Isolation Forest for Anomaly Detection IJCAI 2023 Optimal Activation Functions for the Random Features Regression Model ICLR 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NeurIPS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Optimal Decision Diagrams for Classification AAAI 2023 Optimal Decision Trees For Interpretable Clustering with Constraints IJCAI 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimality of Message-Passing Architectures for Sparse Graphs NeurIPS 2023 Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs ICML 2023 Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023 Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023 Optimal Sparse Recovery with Decision Stumps AAAI 2023 Optimal Sparse Regression Trees AAAI 2023