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Generative Models

7,221 papers

Papers per year

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Papers

Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Cells in Multidimensional Recurrent Neural Networks JMLR 2016
How to Center Deep Boltzmann Machines JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016
Neural Autoregressive Distribution Estimation JMLR 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Data Generation as Sequential Decision Making NIPS 2015
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
Generative Image Modeling Using Spatial LSTMs NIPS 2015
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NIPS 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Max-Margin Deep Generative Models NIPS 2015
Texture Synthesis Using Convolutional Neural Networks NIPS 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NIPS 2015
Unsupervised Learning by Program Synthesis NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
On Theoretical Properties of Sum-Product Networks AISTATS 2015
Deep Exponential Families AISTATS 2015