Generative Adversarial Networks Discussion

I was enrolled in a seminar course titled Learning with Limited Supervision in Fall 2019, and each class a group of students would lead a discussion on a chosen paper. For my discussion, I chose the Generative Adversarial Networks by Ian Goodfellow.

I was tasked with not only presenting the methodology, but also debating the strengths of the paper against my colleague who presented the paper’s weaknesses.

Despite the paper being a seminal work in Computer Vision and in Deep Learning, there was plenty to discuss about the ideas presented in this paper since a few years have passed since its publishing, which allows us to look back and reflect on how these ideas have held up over the years.