Neural Networks

Multiresolution Deep Belief Networks AISTATS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Deep Sparse Rectifier Neural Networks AISTATS 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011 Kernel Analysis of Deep Networks JMLR 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Mixed-Variate Restricted Boltzmann Machines ACML 2011 Natural Language Processing (Almost) from Scratch JMLR 2011 Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011