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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

-Norm Multiple Kernel Learning JMLR 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
Locally Defined Principal Curves and Surfaces JMLR 2011
Learning Latent Tree Graphical Models JMLR 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Proximal Methods for Hierarchical Sparse Coding JMLR 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011
Kernel Analysis of Deep Networks JMLR 2011
Convex and Network Flow Optimization for Structured Sparsity JMLR 2011
Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011
The Stationary Subspace Analysis Toolbox JMLR 2011
The Sample Complexity of Dictionary Learning JMLR 2011
Learning with Structured Sparsity JMLR 2011
A Serial Approach to Handling High-Dimensional Measurements in the Sigma-Point Kalman Filter RSS 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Linear readout from a neural population with partial correlation data NIPS 2010
Tiled convolutional neural networks NIPS 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Deep Coding Network NIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Short-term memory in neuronal networks through dynamical compressed sensing NIPS 2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NIPS 2010
Identifying graph-structured activation patterns in networks NIPS 2010