Deep Learning

Neural conditional random fields AISTATS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 Online Classification with Specificity Constraints NeurIPS 2010 On the Convergence Properties of Contrastive Divergence AISTATS 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 Parallelized Stochastic Gradient Descent NeurIPS 2010 Phoneme Recognition with Large Hierarchical Reservoirs NeurIPS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NeurIPS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 PyBrain JMLR 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010 Regularized estimation of image statistics by Score Matching NeurIPS 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010 Self-Paced Learning for Latent Variable Models NeurIPS 2010 Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake NeurIPS 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NeurIPS 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010 Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010