I presented some preliminary work on using Generative Adversarial Networks to learn distributed representations of documents at the recent NIPS workshop on Adversarial Training. In this post I provide a brief overview of the paper and walk through some of the code. Learning document representations Representation learning has been a hot topic in recent years, in part driven by the desire to apply