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, Ph.D. student at the University of Tokyo 👉 PRESENTER BIO Nan Lu is a machine learning Ph.D. student at the University of Tokyo, and her research interests lie in the fields of weakly supervised learning, deep learning, and privacy-preserving 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 state-of-the-art models.