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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)

On Poisson Graphical Models NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions ICML 2013 On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 On the Sample Complexity of Subspace Learning NeurIPS 2013 On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Optical Flow via Locally Adaptive Fusion of Complementary Data Costs ICCV 2013 Optimal Geometric Fitting under the Truncated L2-Norm CVPR 2013 Optimally Fuzzy Temporal Memory JMLR 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013 Optimizing 1-Nearest Prototype Classifiers CVPR 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Parallel Transport of Deformations in Shape Space of Elastic Surfaces ICCV 2013 Parallel Vector Field Embedding JMLR 2013 Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013