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Generative Models

6381 directly classified papers

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Papers

Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images ICML 2016
Generative Adversarial Text to Image Synthesis ICML 2016
Weakly-supervised text-to-speech alignment confidence measure COLING 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
A Feature Study for Masking-Based Reverberant Speech Separation INTERSPEECH 2016
Modelling Symbolic Music: Beyond the Piano Roll ACML 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
How to Center Deep Boltzmann Machines JMLR 2016
Neural Autoregressive Distribution Estimation JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Deep Structured Energy Based Models for Anomaly Detection ICML 2016
Augmentable Gamma Belief Networks JMLR 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016
Learning to Generate with Memory ICML 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning ICML 2016
Auxiliary Deep Generative Models ICML 2016
One-Shot Generalization in Deep Generative Models ICML 2016
Cells in Multidimensional Recurrent Neural Networks JMLR 2016
Neural Variational Inference for Text Processing ICML 2016
A Theory of Generative ConvNet ICML 2016
Bidirectional Helmholtz Machines ICML 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine INTERSPEECH 2016