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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Learning with Target Prior NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012 Linear Regression With Random Projections JMLR 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 Local Anomaly Detection AISTATS 2012 Locality Preserving Feature Learning AISTATS 2012 Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features JMLR 2012 Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification NeurIPS 2012 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Marginal Regression For Multitask Learning AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Maximum Margin Temporal Clustering AISTATS 2012 Max-Margin Min-Entropy Models AISTATS 2012 Max-Margin Ratio Machine ACML 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012