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Data and examples related to IMLE-GAN

Making GANs More Inclusive: A technique to help GANs represent their datasets fairly

A typical GAN’s output doesn’t necessarily reflect the data distribution of its training set. Instead, GANs are prone to modeling the majority of the training distribution, sometimes ignoring rare attributes — say, faces that represent minority populations.

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