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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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'25

Papers (including subtopics)

Multi-task Learning for Recommender System ACML 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Neural conditional random fields AISTATS 2010 New Adaptive Algorithms for Online Classification NeurIPS 2010 Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010 Nonlinear functional regression: a functional RKHS approach AISTATS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 Nonparametric prior for adaptive sparsity AISTATS 2010 Nonparametric Tree Graphical Models AISTATS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 On Combining Graph-based Variance Reduction schemes AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 On Learning with Integral Operators JMLR 2010 Online Anomaly Detection under Adversarial Impact AISTATS 2010 Online Classification with Specificity Constraints NeurIPS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 Online Learning for Matrix Factorization and Sparse Coding JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010 On Spectral Learning JMLR 2010 On the Convergence Properties of Contrastive Divergence AISTATS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 On the Foundations of Noise-free Selective Classification JMLR 2010 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010