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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)

ILP: A Short Look Back and a Longer Look Forward JMLR 2003 Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003 Kernel Methods for Relation Extraction JMLR 2003 Latent Dirichlet Allocation JMLR 2003 Learning over Sets using Kernel Principal Angles JMLR 2003 Least-Squares Policy Iteration JMLR 2003 MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003 MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003 On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines JMLR 2003 On the Performance of Kernel Classes JMLR 2003 On the Rate of Convergence of Regularized Boosting Classifiers JMLR 2003 Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003 Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003 Preference Elicitation via Theory Refinement JMLR 2003 Ranking a Random Feature for Variable and Feature Selection JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Statistical Dynamics of On-line Independent Component Analysis JMLR 2003 Sufficient Dimensionality Reduction JMLR 2003 Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003 The em Algorithm for Kernel Matrix Completion with Auxiliary Data JMLR 2003 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003 Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds JMLR 2003 Tracking Linear-threshold Concepts with Winnow JMLR 2003 Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003 Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003