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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)

Locally Linear Denoising on Image Manifolds AISTATS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 MAP Estimation for Graphical Models by Likelihood Maximization NeurIPS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010 Matrix Completion from Noisy Entries JMLR 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010 Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010 Maximum Relative Margin and Data-Dependent Regularization JMLR 2010 Minimum Average Cost Clustering NeurIPS 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 Model-based Boosting 2.0 JMLR 2010 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Multi-Stage Dantzig Selector NeurIPS 2010