restricted boltzmann machine

Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015 Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix ICML 2015 Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Restricted Boltzmann machines modeling human choice NeurIPS 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 Switchable Deep Network for Pedestrian Detection CVPR 2014 Annealing between distributions by averaging moments NeurIPS 2013 A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines ICML 2013 Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines CVPR 2013 Hybrid Deep Learning for Face Verification ICCV 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013