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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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Papers (including subtopics)

A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011 Adaptive Density Level Set Clustering COLT 2011 Additive Gaussian Processes NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 Advice Refinement in Knowledge-Based SVMs NeurIPS 2011 A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011 A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011 Agnostic Selective Classification NeurIPS 2011 Algorithms and hardness results for parallel large margin learning NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 An Exact Algorithm for F-Measure Maximization NeurIPS 2011 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 A novel greedy algorithm for Nyström approximation AISTATS 2011 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 Approximate Model Selection for Large Scale LSSVM ACML 2011 Approximating Semidefinite Programs in Sublinear Time NeurIPS 2011 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011 A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NeurIPS 2011 A Serial Approach to Handling High-Dimensional Measurements in the Sigma-Point Kalman Filter RSS 2011