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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)

Variable margin losses for classifier design NeurIPS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Variational Relevance Vector Machine for Tabular Data ACML 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Abstraction and Relational learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Accurate rough terrain estimation with space-carving kernels RSS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Adaptive Regularization of Weight Vectors NeurIPS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 A Least-squares Approach to Direct Importance Estimation JMLR 2009 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 Analysis of Perceptron-Based Active Learning JMLR 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009