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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
'20
'25

Papers (including subtopics)

The Sample Complexity of Dictionary Learning JMLR 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Training SVMs Without Offset JMLR 2011 Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NeurIPS 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Understanding the Intrinsic Memorability of Images NeurIPS 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Union Support Recovery in Multi-task Learning JMLR 2011 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Unsupervised Multiple Kernel Learning ACML 2011 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Variable Sparsity Kernel Learning JMLR 2011 Variance Penalizing AdaBoost NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011