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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 the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 PAC-Bayesian Analysis of Co-clustering and Beyond JMLR 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NeurIPS 2010 Permutation Tests for Studying Classifier Performance JMLR 2010 Phoneme Recognition with Large Hierarchical Reservoirs NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 Random Projections for k-means Clustering NeurIPS 2010 Random Projection Trees Revisited NeurIPS 2010 Rates of convergence for the cluster tree NeurIPS 2010 Reduced-Rank Hidden Markov Models AISTATS 2010 Reducing Label Complexity by Learning From Bags AISTATS 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010