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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)

Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012 Sally: A Tool for Embedding Strings in Vector Spaces JMLR 2012 Sample Complexity of Composite Likelihood AISTATS 2012 Sampling Methods for the Nyström Method JMLR 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection AISTATS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Security Analysis of Online Centroid Anomaly Detection JMLR 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Sign Language Recognition using Sub-Units JMLR 2012 Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012