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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)

Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Shufflets: Shared Mid-level Parts for Fast Object Detection ICCV 2013 SIFTpack: A Compact Representation for Efficient SIFT Matching ICCV 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Similarity-based Clustering by Left-Stochastic Matrix Factorization JMLR 2013 Similarity Component Analysis NeurIPS 2013 Similarity Metric Learning for Face Recognition ICCV 2013 Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013 Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback CVPR 2013 Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos ICCV 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer CVPR 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection CVPR 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Smooth Operators ICML 2013 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013 Social Role Discovery in Human Events CVPR 2013 Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Solving the multi-way matching problem by permutation synchronization NeurIPS 2013 Space-Time Robust Representation for Action Recognition ICCV 2013 Space-Time Tradeoffs in Photo Sequencing ICCV 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013