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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)

MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Memorability of Image Regions NeurIPS 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Metric and Kernel Learning Using a Linear Transformation JMLR 2012 Minimax Manifold Estimation JMLR 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NeurIPS 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012 Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept RSS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Movement Segmentation and Recognition for Imitation Learning AISTATS 2012 Multi-armed Bandit Problems with History AISTATS 2012 Multi-Assignment Clustering for Boolean Data JMLR 2012 MULTIBOOST: A Multi-purpose Boosting Package JMLR 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multi-Instance Learning with Any Hypothesis Class JMLR 2012 Multi Kernel Learning with Online-Batch Optimization JMLR 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multi-label Subspace Ensemble AISTATS 2012