Physics ∩ ML Seminars

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Events During the Week of November 28th through December 5th, 2021

Monday, November 29th, 2021

No events scheduled

Tuesday, November 30th, 2021

No events scheduled

Wednesday, December 1st, 2021

Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities
Time: 11:00 am - 12:15 pm
Place: Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
Speaker: Sharon Li, University of Wisconsin-Madison
Abstract: The real world is open and full of unknowns, presenting significant challenges for machine learning (ML) systems that must reliably handle diverse, and sometimes anomalous inputs. Out-of-distribution (OOD) uncertainty arises when a machine learning model sees a test-time input that differs from its training data, and thus should not be predicted by the model. As ML is used for more safety-critical domains, the ability to handle out-of-distribution data are central in building open-world learning systems. In this talk, I will talk about challenges, methods, and opportunities on uncovering the unknowns of deep neural networks for reliable decision-making in an open world.
Host: Gary Shiu
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Thursday, December 2nd, 2021

No events scheduled

Friday, December 3rd, 2021

No events scheduled