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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)

Collaborative Filtering on a Budget AISTATS 2010 Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials JMLR 2010 Composite Binary Losses JMLR 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Consensus-Based Distributed Support Vector Machines JMLR 2010 Convexity of Proper Composite Binary Losses AISTATS 2010 Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010 Copula Bayesian Networks NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NeurIPS 2010 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Deep Coding Network NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Dependent Indian Buffet Processes AISTATS 2010 Descent Methods for Tuning Parameter Refinement AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010