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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)

Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Seeing the Arrow of Time CVPR 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Self-Paced Learning with Diversity NeurIPS 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014 Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning JMLR 2014 Semi-supervised Spectral Clustering for Image Set Classification CVPR 2014 Sensory Integration and Density Estimation NeurIPS 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals CVPR 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014 Single Image Super-resolution using Deformable Patches CVPR 2014 SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014 Smooth Representation Clustering CVPR 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse Dictionary Learning for Edit Propagation of High-Resolution Images CVPR 2014 Sparse Factor Analysis for Learning and Content Analytics JMLR 2014 Sparse meta-Gaussian information bottleneck ICML 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014