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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)

Object-Centric Anomaly Detection by Attribute-Based Reasoning CVPR 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013 On autoencoder scoring ICML 2013 On Compact Codes for Spatially Pooled Features ICML 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013 One-Pass AUC Optimization ICML 2013 One-shot learning and big data with n=2 NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 Online Dominant and Anomalous Behavior Detection in Videos CVPR 2013 Online Feature Selection for Model-based Reinforcement Learning ICML 2013 Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Online Learning for Time Series Prediction COLT 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Online Motion Segmentation Using Dynamic Label Propagation ICCV 2013 Online PCA for Contaminated Data NeurIPS 2013 Online Robust Dictionary Learning CVPR 2013 Online Robust Non-negative Dictionary Learning for Visual Tracking ICCV 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 On multi-class classification through the minimization of the confusion matrix norm ACML 2013 On One-Shot Similarity Kernels: Explicit Feature Maps and Properties ICCV 2013