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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)

Statistical Performance of Convex Tensor Decomposition NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Structured Learning for Cell Tracking NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011 Structure Learning for Optimization NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 Summarization of Yes/No Questions Using a Feature Function Model ACML 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets JMLR 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Fast Convergence of Boosting NeurIPS 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NeurIPS 2011 The Indian Buffet Process: An Introduction and Review JMLR 2011 The Kernel Beta Process NeurIPS 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 The Manifold Tangent Classifier NeurIPS 2011 Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011 The Rate of Convergence of Adaboost COLT 2011 The Sample Complexity of Dictionary Learning COLT 2011