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We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).

Python 100.00%
deep-learning gan machine-learning meta-learning wasserstein-distance wasserstein-gan reptile

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