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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)

A General Two-Step Approach to Learning-Based Hashing ICCV 2013 Aggregating Predictions via Sequential Mini-Trading ACML 2013 A Global Approach for the Detection of Vanishing Points and Mutually Orthogonal Vanishing Directions CVPR 2013 A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NeurIPS 2013 A Higher-Order CRF Model for Road Network Extraction CVPR 2013 A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution ICCV 2013 A Kernel Test for Three-Variable Interactions NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting ICCV 2013 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 Algorithms for Discovery of Multiple Markov Boundaries JMLR 2013 All About VLAD CVPR 2013 Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013 A Local Algorithm for Finding Well-Connected Clusters ICML 2013 Alternating Decision Forests CVPR 2013 Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013 A Machine Learning Approach for Non-blind Image Deconvolution CVPR 2013 A Machine Learning Framework for Programming by Example ICML 2013 A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013 A Max-Margin Riffled Independence Model for Image Tag Ranking CVPR 2013