Anyone GAN Do This: Solving the Minority Class Imbalance Problem | PyData Global 2021

Anyone GAN Do This: Solving the Minority Class Imbalance Problem Once and for All Speakers: Dipam Paul, Alankrita Tewari Summary In this talk, our mission is to highlight and try to solve one of the most pressing problems that exist in the world of training and deploying Neural Networks. This problem is called the ’Minority Class Imbalance Problem’. Our proposed technique comprising Deep Generative Models would not just solve the problem but would also show a way to how one can seamlessly attain state-of-the-art accuracy! Dipam Paul’s Bio Commonly referred to as ‘The Boy from Kolkata’ - Dipam is a recent Engineering graduate with a major in Electronics and Telecommunication from KIIT University, India. Currently, he has joined Accenture, India as a Software Engineer. Prior to this, he was working as a Research Assistant @ School of Computer Science, Carnegie Mellon University. He primarily worked on Object Detection problems concerning 3D-Cryo ET data and areas of