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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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'15
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'25

Papers (including subtopics)

Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 Undercomplete Blind Subspace Deconvolution JMLR 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 VC Theory of Large Margin Multi-Category Classifiers JMLR 2007 Very Fast Online Learning of Highly Non Linear Problems JMLR 2007 A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 A Complexity-Distortion Approach to Joint Pattern Alignment NeurIPS 2006 Active learning for misspecified generalized linear models NeurIPS 2006 Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error JMLR 2006 Active Learning with Feedback on Features and Instances JMLR 2006 AdaBoost is Consistent NeurIPS 2006 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NeurIPS 2006 A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006 A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006 A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006 A Humanlike Predictor of Facial Attractiveness NeurIPS 2006 A Kernel Method for the Two-Sample-Problem NeurIPS 2006