Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Monochromatic Bi-Clustering ICML 2013 More data speeds up training time in learning halfspaces over sparse vectors NeurIPS 2013 Motion-Aware KNN Laplacian for Video Matting ICCV 2013 Multi-agent Event Detection: Localization and Role Assignment CVPR 2013 Multi-attributed Dictionary Learning for Sparse Coding ICCV 2013 Multi-attribute Queries: To Merge or Not to Merge? CVPR 2013 Multicategory Large-Margin Unified Machines JMLR 2013 Multi-channel Correlation Filters ICCV 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Multiclass Latent Locally Linear Support Vector Machines ACML 2013 Multiclass Total Variation Clustering NeurIPS 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 Multi-Label Classification with Unlabeled Data: An Inductive Approach ACML 2013 Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization CVPR 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Multilinear Multitask Learning ICML 2013 Multipath Sparse Coding Using Hierarchical Matching Pursuit CVPR 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multisensory Encoding, Decoding, and Identification NeurIPS 2013 Multi-Stage Multi-Task Feature Learning JMLR 2013 Multi-target Tracking by Rank-1 Tensor Approximation CVPR 2013