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Generative Models

6381 directly classified papers

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Papers

Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Neural Discrete Representation Learning NIPS 2017
Bayesian Compression for Deep Learning NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Introspective Classification with Convolutional Nets NIPS 2017
Continual Learning with Deep Generative Replay NIPS 2017
Variational Bayes on Monte Carlo Steroids NIPS 2016
Ladder Variational Autoencoders NIPS 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Generating Videos with Scene Dynamics NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Deep Learning Models of the Retinal Response to Natural Scenes NIPS 2016
Conditional Image Generation with PixelCNN Decoders NIPS 2016
Accelerated Generative Models for 3D Point Cloud Data CVPR 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016
Learnable Visual Markers NIPS 2016
Unsupervised Learning of 3D Structure from Images NIPS 2016
Autoencoding beyond pixels using a learned similarity metric ICML 2016
Pixel Recurrent Neural Networks ICML 2016
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation INTERSPEECH 2016