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Panel discussion
Steffen Schneider · Aleksander Madry · Alexei Efros · Chelsea Finn · Soheil Feizi

Fri Jul 22 02:00 PM -- 03:00 PM (PDT) @
in Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet »
Event URL: https://app.sli.do/event/4vwRK9oVTL7Pzby8eZzAUH/ »

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https://app.sli.do/event/4vwRK9oVTL7Pzby8eZzAUH/

Author Information

Steffen Schneider (University of Tuebingen / EPFL / ELLIS)
Aleksander Madry (MIT)
Alexei Efros (UC Berkeley)
Chelsea Finn (Stanford)

Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University. Finn's research interests lie in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. To this end, her work has included deep learning algorithms for concurrently learning visual perception and control in robotic manipulation skills, inverse reinforcement methods for learning reward functions underlying behavior, and meta-learning algorithms that can enable fast, few-shot adaptation in both visual perception and deep reinforcement learning. Finn received her Bachelor's degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, the Microsoft Research Faculty Fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across four universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.

Soheil Feizi (University of Maryland)

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