On convergence and stability of gans

    arXiv: Artificial Intelligence, 2018.

    Cited by: 34|Bibtex|Views31|

    Abstract:

    We propose studying GAN training dynamics as regret minimization, which is in contrast to the popular view that there is consistent minimization of a divergence between real and generated distributions. We analyze the convergence of GAN training from this new point of view to understand why mode collapse happens. We hypothesize the existe...More

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