deep belief network

Accelerated Sampling with Stacked Restricted Boltzmann Machines ICLR 2024 Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023 A Deep Learning Method for Pathological Voice Detection Using Convolutional Deep Belief Networks Interspeech 2018 Automatic Gating of Attributes in Deep Structure IJCAI 2018 Deep Learning the Ising Model Near Criticality JMLR 2018 Transfer Learning for Improving Speech Emotion Classification Accuracy Interspeech 2018 Augmentable Gamma Belief Networks JMLR 2016 DBN-ivector Framework for Acoustic Emotion Recognition Interspeech 2016 Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016 Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016 Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015 Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015 Facial Expression Recognition via a Boosted Deep Belief Network CVPR 2014 Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014 Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013 Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines CVPR 2013 Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Algorithms for Hyper-Parameter Optimization NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010