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Unrolled GAN

In the unrolled GAN, the generator and discriminator play \(n\) rounds of generating and discriminating samples. Afterwards, the generator loss is backpropagated through time, like in [[Recursive Neural Networks]]. The discriminator is only updated on the loss from the first round however. This avoids overfitting of the discriminator.