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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)

Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 -Norm Multiple Kernel Learning JMLR 2011 Object Detection with Grammar Models NeurIPS 2011 On Equivalence Relationships Between Classification and Ranking Algorithms JMLR 2011 On fast approximate submodular minimization NeurIPS 2011 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011 On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 On the Consistency of Multi-Label Learning COLT 2011 On Tracking The Partition Function NeurIPS 2011 On U-processes and clustering performance NeurIPS 2011 Operator Norm Convergence of Spectral Clustering on Level Sets JMLR 2011 Optimal aggregation of affine estimators COLT 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 Penalty Decomposition Methods for Rank Minimization NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011