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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)

Discriminative Non-blind Deblurring CVPR 2013 Discriminative Re-ranking of Diverse Segmentations CVPR 2013 Discriminative Sub-categorization CVPR 2013 Discriminative Subspace Clustering CVPR 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Distributed Low-Rank Subspace Segmentation ICCV 2013 Distributed Representations of Words and Phrases and their Compositionality NeurIPS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Distributed training of Large-scale Logistic models ICML 2013 Distribution-Dependent Sample Complexity of Large Margin Learning JMLR 2013 Distribution-Free Distribution Regression AISTATS 2013 Distribution to Distribution Regression ICML 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 Divvy: Fast and Intuitive Exploratory Data Analysis JMLR 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model ICML 2013 Domain Generalization via Invariant Feature Representation ICML 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013 Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos JMLR 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification ICCV 2013