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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)

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014 Gaussian Copula Precision Estimation with Missing Values AISTATS 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Generalized Max Pooling CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 General Stochastic Networks for Classification NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014 Gesture Recognition Portfolios for Personalization CVPR 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014 Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014 Global graph kernels using geometric embeddings ICML 2014 Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Graph Estimation From Multi-Attribute Data JMLR 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014