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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)

Learning to Rank Based on Subsequences ICCV 2015 Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015 Learning to See by Moving ICCV 2015 Learning to Transduce with Unbounded Memory NeurIPS 2015 Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection ICCV 2015 Learning Transformations for Clustering and Classification JMLR 2015 Learning visual biases from human imagination NeurIPS 2015 Learning with a Wasserstein Loss NeurIPS 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Learning with Incremental Iterative Regularization NeurIPS 2015 Learning with Relaxed Supervision NeurIPS 2015 Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015 Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015 Learning Word Representations with Hierarchical Sparse Coding ICML 2015 Leave-One-Out Kernel Optimization for Shadow Detection ICCV 2015 Less is More: Nyström Computational Regularization NeurIPS 2015 Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network ICCV 2015 Leveraging Stereo Matching With Learning-Based Confidence Measures CVPR 2015 LEWIS: Latent Embeddings for Word Images and their Semantics ICCV 2015 Lifted Symmetry Detection and Breaking for MAP Inference NeurIPS 2015 Light Field From Micro-Baseline Image Pair CVPR 2015 Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015 Linearization to Nonlinear Learning for Visual Tracking ICCV 2015