Hosted by the Institute for Foundations of Machine Learning
University of Washington
Jointly organized with University of Texas at Austin, Wichita State University, Microsoft Research
Sebastien Bubeck Microsoft Research |
Rachel Ward University of Texas at Austin |
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Yasaman Bahri Google Research |
Ananya Kumar Stanford University |
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Alex Dimakis University of Texas at Austin |
Yejin Choi University of Washington, AI2 |
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Baharan Mirzasoleiman University of Los Angeles |
Denny Zhou Google Research |
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Ming Lin Amazon Research |
Georgia Gkioxari Caltech |
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Ludwig Schmidt University of Washington |
Mengdi Wang Princeton University |
9:00-9:45 | Sebastien Bubeck - MSR |
9:45-10:30 | Georgia Gkioxari - Caltech |
10:30-11:00 | Break |
11:00-11:45 | Alex Dimakis - UT |
11:45-2:00 | Lunch |
2:00-2:45 | Denny Zhou - Google |
2:45-3:30 | Baharan Mirzasoleiman - UCLA |
3:30-4:00 | Break |
4:00-5:00 | Short talks and datasets demos |
5:00-7:00 | Evening Buffet in University Village (Ba Bar) |
9:00-9:45 | Mengdi Wang - Princeton |
9:45-10:30 | Yasaman Bahri - Google |
10:30-11:00 | Break |
11:00-11:45 | Ludwig Schmidt - UW |
11:45-2:00 | Lunch |
2:00-2:45 | Ming Lin - Amazon |
2:45-3:30 | Ananya Kumar - Stanford |
3:30-4:00 | Break |
4:00-5:00 | Panel Discussion |
9:30-10:00 | Short talks and dataset demos |
10:00-10:30 | Break |
10:30-11:15 | Rachel Ward - UT |
11:15-12:00 | Yejin Choi - UW |
12:00-12:30 | Closing remarks |
Review a list of titles and abstracts of the speakers outlined above here.
This workshop aims to bring together researchers to discuss emerging challenges and opportunities following the spectacular progress of platform models a.k.a. foundation models.
Registration is now closed.
Questions? Contact us!