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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)

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 A Sentence Is Worth a Thousand Pixels CVPR 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A Statistical Model for Recreational Trails in Aerial Images CVPR 2013 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013 A Theory of Multiclass Boosting JMLR 2013 Attribute Dominance: What Pops Out? ICCV 2013 Auditing: Active Learning with Outcome-Dependent Query Costs NeurIPS 2013 Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition CVPR 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013 Automatic Kronecker Product Model Based Detection of Repeated Patterns in 2D Urban Images ICCV 2013 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 A Video Representation Using Temporal Superpixels CVPR 2013 Axially Symmetric 3D Pots Configuration System Using Axis of Symmetry and Break Curve CVPR 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian Games for Adversarial Regression Problems ICML 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian inference as iterated random functions with applications to sequential inference in graphical models NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013