How to address mode collapse, a commonly encountered failure case for GANs where the generator learns to produce samples with extremely low variety.
Deciphering the GAN objective used in practice, a detour through theory, and a practical reformulation of the GAN objective in a more general form.
A look at the objective function introduced in the InfoGAN paper, and why InfoGAN really isn't that complicated to implement.