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06/08/2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
A new generative adversarial network is developed for joint distribution...
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11/15/2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models
We present a deep generative model for learning to predict classes not s...
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09/19/2017
Triangle Generative Adversarial Networks
A Triangle Generative Adversarial Network (Δ-GAN) is developed for semi-...
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09/06/2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning
A new form of the variational autoencoder (VAE) is proposed, based on th...
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09/05/2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
We investigate the non-identifiability issues associated with bidirectio...
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09/04/2017
Continuous-Time Flows for Deep Generative Models
Normalizing flows have been developed recently as a method for drawing s...
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01/11/2017
Compressive Sensing via Convolutional Factor Analysis
We solve the compressive sensing problem via convolutional factor analys...
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11/23/2016
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Recurrent neural networks (RNNs) have shown promising performance for la...
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11/23/2016
Semantic Compositional Networks for Visual Captioning
A Semantic Compositional Network (SCN) is developed for image captioning...
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11/23/2016
Learning Generic Sentence Representations Using Convolutional Neural Networks
We propose a new encoder-decoder approach to learn distributed sentence ...
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11/23/2016
Adaptive Feature Abstraction for Translating Video to Text
Previous models for video captioning often use the output from a specifi...
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09/28/2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
A novel variational autoencoder is developed to model images, as well as...
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12/23/2015
A Deep Generative Deconvolutional Image Model
A deep generative model is developed for representation and analysis of ...
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04/15/2015
A Generative Model for Deep Convolutional Learning
A generative model is developed for deep (multi-layered) convolutional d...
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12/18/2014
