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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
'5
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'15
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'25

Papers (including subtopics)

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization JMLR 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 AUC optimization and the two-sample problem NeurIPS 2009 Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships NeurIPS 2009 Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression JMLR 2009 Bilinear classifiers for visual recognition NeurIPS 2009 Boosting with Spatial Regularization NeurIPS 2009 Bounded Kernel-Based Online Learning JMLR 2009 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning JMLR 2009 Cautious Collective Classification JMLR 2009