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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)

Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model ICML 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Multivariate Convex Regression with Adaptive Partitioning JMLR 2013 Multi-View Clustering and Feature Learning via Structured Sparsity ICML 2013 Natural Image Bases to Represent Neuroimaging Data ICML 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors ICCV 2013 Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling ICML 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013 Neural representation of action sequences: how far can a simple snippet-matching model take us? NeurIPS 2013 New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 Noisy Sparse Subspace Clustering ICML 2013 Non-Linear Domain Adaptation with Boosting NeurIPS 2013 Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques CVPR 2013 Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context CVPR 2013 Nonparametric Sparsity and Regularization JMLR 2013 Non-rigid Structure from Motion with Diffusion Maps Prior CVPR 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013