Representation Learning

Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 Deep Sparse Rectifier Neural Networks AISTATS 2011 Empirical models of spiking in neural populations NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011