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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)

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013 Stable Hyper-pooling and Query Expansion for Event Detection ICCV 2013 Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology ICCV 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Statistical Textural Distinctiveness for Salient Region Detection in Natural Images CVPR 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic blockmodeling of relational event dynamics AISTATS 2013 Stochastic Deconvolution CVPR 2013 Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Structured Forests for Fast Edge Detection ICCV 2013 Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013 Structured Learning via Logistic Regression NeurIPS 2013 Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time ICCV 2013 Subcategory-Aware Object Classification CVPR 2013 Submodular Salient Region Detection CVPR 2013 Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013