Learning by omission
What would happen if neural networks were explicitly trained to discard useless information, and how to tell them to do so, is the subject of recent research by SFI's Artemy Kolchinsky, Brendan Tracey, and David Wolpert.
The Interplay of Large-Scale Impersonal Trends, Big Ideas, and Great Leaders in History
Noyce Conference Room
Working Group
- Purpose:Research Collaboration
- SFI Host:David Wolpert, Manfred Laubichler, Mike Price, Hajime Shimao