Fri 4 Dec 2020: Language, learning, and networks
Learning to understand: Statistical learning and infant language development
Jenny Saffran, University of Wisconsin
A mathematical theory of learning in deep neural networks
Surya Ganguli, Stanford University and Google
Neural scaling laws and GPT-3
Jared Kaplan, Johns Hopkins University and OpenAI
Sponsored by the Initiative for the Theoretical Sciences and the CUNY doctoral programs in Physics and Biology.
Supported in part by the Center for the Physics of Biological Function, a joint effort of The Graduate Center and Princeton University.
Website: https://itsatcuny.org/biophysics