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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)

Graph-Based Discriminative Learning for Location Recognition CVPR 2013 Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation CVPR 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013 GRASP Recurring Patterns from a Single View CVPR 2013 Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013 Greedy Feature Selection for Subspace Clustering JMLR 2013 Greedy Sparsity-Constrained Optimization JMLR 2013 Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013 Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps ICCV 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 GURLS: A Least Squares Library for Supervised Learning JMLR 2013 Handling Occlusions with Franken-Classifiers ICCV 2013 Handling Uncertain Tags in Visual Recognition ICCV 2013 Handwritten Word Spotting with Corrected Attributes ICCV 2013 Harvesting Mid-level Visual Concepts from Large-Scale Internet Images CVPR 2013 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013 HDR Deghosting: How to Deal with Saturation? CVPR 2013 Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification ICCV 2013 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013 Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NeurIPS 2013 Hierarchical Part Matching for Fine-Grained Visual Categorization ICCV 2013