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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)

A Boosting Framework on Grounds of Online Learning NeurIPS 2014 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014 Accurate Object Detection with Joint Classification-Regression Random Forests CVPR 2014 A Compact and Discriminative Face Track Descriptor CVPR 2014 A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014 Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014 Active Regression by Stratification NeurIPS 2014 Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls JMLR 2014 Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014 Adaptive Sampling for Large Scale Boosting JMLR 2014 Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014 A Deep and Tractable Density Estimator ICML 2014 A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014 A Discriminative Latent Variable Model for Online Clustering ICML 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 A Fast and Robust Algorithm to Count Topologically Persistent Holes in Noisy Clouds CVPR 2014 A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014