Understanding and Mitigating Bias in Visual Recognition

When:
Friday, October 30, 2020, 11:00 am - 12:00 pm PDTiCal
Where:
Virtually via Zoom
This event is open to the public.
Type:
AI Seminar
Speaker:
Judy Hoffman, Georgia Tech
Video Recording:
https://usc.zoom.us/j/95820116829
Description:

Abstract: TBA

Biography: Dr. Judy Hoffman is an Assistant Professor in the School of Interactive Computing at Georgia Tech and a member of the Machine Learning Center. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has been awarded the NVIDIA female leader in computer vision award in 2020, AIMiner top 100 most influential scholars in Machine Learning (2020), MIT EECS Rising Star in 2015, and is a recipient of the NSF Graduate Fellowship. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization which provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a Research Scientist at Facebook AI Research. She received her PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016 after which she completed Postdocs at Stanford University (2017) and UC Berkeley (2018).

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