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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)

What's in a Name? First Names as Facial Attributes CVPR 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Which Space Partitioning Tree to Use for Search? NeurIPS 2013 Why Steiner-tree type algorithms work for community detection AISTATS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 Accuracy at the Top NeurIPS 2012 A Characterization of Scoring Rules for Linear Properties COLT 2012 A Comparison of the Lasso and Marginal Regression JMLR 2012 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 A Correlation Clustering Approach to Link Classification in Signed Networks COLT 2012 Active Clustering of Biological Sequences JMLR 2012 Active Comparison of Prediction Models NeurIPS 2012 Active Learning of Multi-Index Function Models NeurIPS 2012 Active Learning with Hinted Support Vector Machine ACML 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 Adaptive Metropolis with Online Relabeling AISTATS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations NeurIPS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012