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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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'15
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'25

Papers (including subtopics)

Towards a general independent subspace analysis NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 Universal Kernels JMLR 2006 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006 Using Combinatorial Optimization within Max-Product Belief Propagation NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005 A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes JMLR 2005 A Classification Framework for Anomaly Detection JMLR 2005 Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005 Active Learning to Recognize Multiple Types of Plankton JMLR 2005 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Asymptotics in Empirical Risk Minimization JMLR 2005 A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005 Change Point Problems in Linear Dynamical Systems JMLR 2005 Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems JMLR 2005 Clustering on the Unit Hypersphere using von Mises-Fisher Distributions JMLR 2005 Clustering with Bregman Divergences JMLR 2005 Combining Information Extraction Systems Using Voting and Stacked Generalization JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Diffusion Kernels on Statistical Manifolds JMLR 2005 Dimension Reduction in Text Classification with Support Vector Machines JMLR 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005