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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)

A Simpler Approach to Matrix Completion JMLR 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011 Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011 Automatic Calibration of Multiple Coplanar Sensors RSS 2011 Bagged Structure Learning of Bayesian Network AISTATS 2011 Bayesian Co-Training JMLR 2011 Bayesian Hierarchical Cross-Clustering AISTATS 2011 Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Bayesian Spike-Triggered Covariance Analysis NeurIPS 2011 Beating SGD: Learning SVMs in Sublinear Time NeurIPS 2011 Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NeurIPS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011 CARP: Software for Fishing Out Good Clustering Algorithms JMLR 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Clustering Algorithms for Chains JMLR 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011 Collective Graphical Models NeurIPS 2011 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Composite Multiclass Losses NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011 Confidence Sets for Network Structure NeurIPS 2011