[D] Unsupervised-as-supervised learning • r/MachineLearning

I'm including noise-contrastive estimation, and GANs, but I'm worried I won't have enough to write (need about 3000 words). I've gone through most of the citations for these papers, so I'm thinking of just including GAN variants (like f-GAN, WGAN etc) to fill out any additional space. Anyone know of any other papers using a similar sort of technique? I'm aware of the part in ESLII also, just need to skim it again before I start writing.