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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)

Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Sparse Reinforcement Learning via Convex Optimization ICML 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014 Spectral Bandits for Smooth Graph Functions ICML 2014 Spectral Clustering of graphs with the Bethe Hessian NeurIPS 2014 Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions CVPR 2014 Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation CVPR 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Spectral Regularization for Max-Margin Sequence Tagging ICML 2014 Speeding Up Tracking by Ignoring Features CVPR 2014 SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014 Stable and Efficient Representation Learning with Nonnegativity Constraints ICML 2014 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014 State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014 Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014 Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014 Stochastic Neighbor Compression ICML 2014