research
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03/01/2022
Global-Local Regularization Via Distributional Robustness
Despite superior performance in many situations, deep neural networks ar...
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02/27/2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
It is well-known that deep neural networks (DNNs) are susceptible to adv...
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11/04/2018
Improving GAN with neighbors embedding and gradient matching
We propose two new techniques for training Generative Adversarial Networ...
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03/23/2018
Generative Adversarial Autoencoder Networks
We introduce an effective model to overcome the problem of mode collapse...
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02/10/2018
