MLT init Session, 10: Rethinking Importance Weighting

Paper Reading Discussion Fang et al. (2020): Rethinking Importance Weighting for Deep Learning under Distribution Shift Presenter: Nan Lu, student at the University of Tokyo PRESENTER BIO Nan Lu is a machine learning student at the University of Tokyo, and her research interests lie in the fields of weakly supervised learning, deep learning, and privacypreserving learning. More info: ABOUT MLT init A monthly event led by Jayson Cunanan and J. Miguel Valverde where a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to study Deep Learning effectively. We also hope to promote collaboration between participants. We will try to achieve this by: Discussing fundamental papers whose key ideas apply to stateoftheart models.