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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)

K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes CVPR 2013 k-Prototype Learning for 3D Rigid Structures NeurIPS 2013 Label-Embedding for Attribute-Based Classification CVPR 2013 Label Partitioning For Sublinear Ranking ICML 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning ICCV 2013 Large-scale SVD and Manifold Learning JMLR 2013 Large-Scale Video Hashing via Structure Learning ICCV 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Latent Maximum Margin Clustering NeurIPS 2013 Latent Space Sparse Subspace Clustering ICCV 2013 Latent Structured Active Learning NeurIPS 2013 Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning a Dictionary of Shape Epitomes with Applications to Image Labeling ICCV 2013 Learning a Manifold as an Atlas CVPR 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning a set of directions COLT 2013 Learning Bilinear Model for Matching Queries and Documents JMLR 2013 Learning Binary Codes for High-Dimensional Data Using Bilinear Projections CVPR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Class-to-Image Distance with Object Matchings CVPR 2013