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Mining GOLD Samples for Conditional GANs (NeurIPS 2019)

Home Page: https://arxiv.org/abs/1910.09170

Python 93.57% Jupyter Notebook 6.43%
generative-models generative-adversarial-network conditional-gan gan

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Hi,

Thanks for sharing the source code!
According to the implementation here, it seems that you directly use the logits predicted from the discriminator as the weight for the re-weighting training. Does it mean that some weights might be negative (thus reversing the direction of the gradient computed from the re-weighted loss here)?

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