Extending Deep Nets to New, Unexpected Situations

Extending Deep Nets to New, Unexpected SituationsDate: 02/11/2021
Location:

Virtual MIT Quest AI Roundtable | Feb. 11 | 7pm-8pm

Speakers: Pulkit Agrawal, Phillip Isola (MIT); Alyosha Efros (UC Berkeley)
Moderator: Aude Oliva (MIT)

Deep neural networks could very well memorize their training data, but instead they find generalizable rules.We will discuss various ideas for why this happens, and how we can build deep learning systems that generalize even better to new and unexpected scenarios. Register Here