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Representation Learning

4,925 papers

Papers per year

7
51
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487
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Papers

Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NIPS 2012
Unsupervised Template Learning for Fine-Grained Object Recognition NIPS 2012
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012
Multiple Texture Boltzmann Machines AISTATS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
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
Selecting Receptive Fields in Deep Networks NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010