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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Union Support Recovery in Multi-task Learning JMLR 2011
Distance Dependent Chinese Restaurant Processes JMLR 2011
LPmade: Link Prediction Made Easy JMLR 2011
Weisfeiler-Lehman Graph Kernels JMLR 2011
Kernel Analysis of Deep Networks JMLR 2011
Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011
Bayesian Co-Training JMLR 2011
Convex and Network Flow Optimization for Structured Sparsity JMLR 2011
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011
Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011
Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011
Efficient Learning with Partially Observed Attributes JMLR 2011
On Equivalence Relationships Between Classification and Ranking Algorithms JMLR 2011
The Stationary Subspace Analysis Toolbox JMLR 2011
Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Robust Gaussian Process Regression with a Student- Likelihood JMLR 2011
The Sample Complexity of Dictionary Learning JMLR 2011
Learning with Structured Sparsity JMLR 2011
A Simpler Approach to Matrix Completion JMLR 2011
Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms JMLR 2011
Automatic Calibration of Multiple Coplanar Sensors RSS 2011
A Serial Approach to Handling High-Dimensional Measurements in the Sigma-Point Kalman Filter RSS 2011
Agnostic Active Learning Without Constraints NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010