Neural Networks

A Hybrid Neural Network-Latent Topic Model AISTATS 2012 Analog readout for optical reservoir computers NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Cocktail Party Processing via Structured Prediction NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Convolutional-Recursive Deep Learning for 3D Object Classification NeurIPS 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NeurIPS 2012 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NeurIPS 2012 Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Krylov Subspace Descent for Deep Learning AISTATS 2012 Large Scale Distributed Deep Networks NeurIPS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012