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Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks

Liu, FQ; Xu, MK; Li, GQ; Pei, J; Shi, LP; Zhao, R

Zhao, R (corresponding author), Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China.

NEURAL NETWORKS, 2021; 133 (): 148

Abstract

Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability. Despite many training stra......

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