Improves GAN training by guiding the discriminator to have more diverse binary activation patterns.
problem Stability and convergence issues in GAN training.
method Binarized Representation Entropy (BRE) regularization to guide the discriminator's model capacity allocation.
result Improves GAN training stability and convergence speed, higher sample quality, and higher classification accuracy.