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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)

Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 Sparse Additive Machine AISTATS 2012 Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012 Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012 Sparse Higher-Order Principal Components Analysis AISTATS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012 Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Stability of Density-Based Clustering JMLR 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structured Output Learning with High Order Loss Functions AISTATS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 Super-Bit Locality-Sensitive Hashing NeurIPS 2012 Supervised Dimension Reduction with Topic Models ACML 2012 Supervised Learning with Similarity Functions NeurIPS 2012 SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012