University of Maryland
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.
