conftrace_

restricted boltzmann machine

98 papers

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Also known as

RBM

Co-occurring keywords

generative model (2892) deep belief network (37) unsupervised learning (3264) feature learning (1311) contrastive divergence (32) energy-based model (251) representation learning (6206) neural network (6616) deep learning (2118) probabilistic modeling (852)

Papers

CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion INTERSPEECH 2017
Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra INTERSPEECH 2017
Unsupervised Representation Learning Using Convolutional Restricted Boltzmann Machine for Spoof Speech Detection INTERSPEECH 2017
Learning RBM with a DC programming Approach ACML 2017
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine INTERSPEECH 2016
A Deep Learning Approach to Unsupervised Ensemble Learning ICML 2016
Learning Infinite RBMs with Frank-Wolfe NIPS 2016
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Neural Autoregressive Distribution Estimation JMLR 2016
How to Center Deep Boltzmann Machines JMLR 2016
A Neural Autoregressive Approach to Collaborative Filtering ICML 2016
Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016
Temporal Multimodal Learning in Audiovisual Speech Recognition CVPR 2016
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016
Discrete Restricted Boltzmann Machines JMLR 2015
Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix ICML 2015
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions ICML 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015