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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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'25

Papers (including subtopics)

Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 Non-Sparse Multiple Kernel Fisher Discriminant Analysis JMLR 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Oger: Modular Learning Architectures For Large-Scale Sequential Processing JMLR 2012 On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 One Permutation Hashing NeurIPS 2012 On Estimation and Selection for Topic Models AISTATS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Online Clustering of Processes AISTATS 2012 Online Clustering with Experts AISTATS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012 Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 On Ranking and Generalization Bounds JMLR 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012 On the Necessity of Irrelevant Variables JMLR 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012