Reciprocal Adversarial Learning via Characteristic Functions

15 Jun 2020Shengxi LiZeyang YuMin XiangDanilo Mandic

Generative adversarial nets (GANs) have become a preferred tool for accommodating complicated distributions, and to stabilise the training and reduce the mode collapse of GANs, one of their main variants employs the integral probability metric (IPM) as the loss function. Although theoretically supported, extensive IPM-GANs are basically comparing moments in an embedded domain of the \textit{critic}... (read more)

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