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Representation Learning

4516 directly classified papers

Papers per year

Papers

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NIPS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Multiple Texture Boltzmann Machines AISTATS 2012
Learning optimal spike-based representations NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Deep Representations and Codes for Image Auto-Annotation NIPS 2012
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Sparse Filtering NIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Deep Coding Network NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Polynomial Semantic Indexing NIPS 2009