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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)

Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015 Personalized Age Progression With Aging Dictionary ICCV 2015 Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015 Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis ICCV 2015 Person Re-Identification With Correspondence Structure Learning ICCV 2015 Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries ICCV 2015 Photonic Delay Systems as Machine Learning Implementations JMLR 2015 Piecewise Flat Embedding for Image Segmentation ICCV 2015 Planar Ultrametrics for Image Segmentation NeurIPS 2015 Pointer Networks NeurIPS 2015 Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction CVPR 2015 Pose Induction for Novel Object Categories ICCV 2015 Power-Law Graph Cuts AISTATS 2015 Practical and Optimal LSH for Angular Distance NeurIPS 2015 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Predicting a Switching Sequence of Graph Labelings JMLR 2015 Predicting Eye Fixations Using Convolutional Neural Networks CVPR 2015 Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD ICCV 2015 Predicting Preference Reversals via Gaussian Process Uncertainty Aversion AISTATS 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015 Probabilistic Appearance Models for Segmentation and Classification ICCV 2015