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06/09/2020
Towards Good Practices for Data Augmentation in GAN Training
Recent successes in Generative Adversarial Networks (GAN) have affirmed ...
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11/16/2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Self-supervised (SS) learning is a powerful approach for representation ...
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05/14/2019
An Improved Self-supervised GAN via Adversarial Training
We propose to improve unconditional Generative Adversarial Networks (GAN...
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11/03/2018
Variational Bayes Inference in Digital Receivers
The digital telecommunications receiver is an important context for infe...
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09/26/2018
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources
Principal component analysis (PCA) is a popular method for projecting da...
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03/29/2018