neural network

RNADE: The real-valued neural autoregressive density-estimator NeurIPS 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013 Understanding Dropout NeurIPS 2013 A Hybrid Neural Network-Latent Topic Model AISTATS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Random Search for Hyper-Parameter Optimization JMLR 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 The Neural Autoregressive Distribution Estimator AISTATS 2011 Why The Brain Separates Face Recognition From Object Recognition NeurIPS 2011 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Neural conditional random fields AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 Phoneme Recognition with Large Hierarchical Reservoirs NeurIPS 2010