Reviews: Twin Auxilary Classifiers GAN

I have read the authors' rebuttal. I am satisfied with the answers. I will keep my rating at 8. ---------- Questions / criticisms / suggestions: - I see that in your work you present ACGAN as being a particular instantiation of a cGAN (i.e. For instance, in cGAN the discriminator d(x,y) is estimating p(x y)p(y) (which the generator tries to match with its conditional q(x y)), whereas in ACGAN it is implicitly estimating p(y x)p(x), where p(y x) is the auxiliary classifier and p(x) is the discriminator. It would be important to make this clear since these techniques are sufficiently different from each other.