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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)

Classification with Gaussians and Convex Loss JMLR 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Compressed Least-Squares Regression NeurIPS 2009 Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors JMLR 2009 Conditional Neural Fields NeurIPS 2009 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Data-driven calibration of linear estimators with minimal penalties NeurIPS 2009 Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Directed Regression NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Discriminative Learning Under Covariate Shift JMLR 2009 Discriminative Network Models of Schizophrenia NeurIPS 2009 Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009 Distributed Algorithms for Topic Models JMLR 2009 Distribution-Calibrated Hierarchical Classification NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Dlib-ml: A Machine Learning Toolkit JMLR 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009