BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-6468
DTSTART:20210616T160000Z
DTEND:20210616T171500Z
DTSTAMP:20260414T221256Z
LAST-MODIFIED:20210614T151745Z
LOCATION:Online Seminar: Please sign up for our mailing list at www.ph
 ysicsmeetsml.org for zoom link
SUMMARY:Explaining Neural Scaling Laws\, Physics ∩ ML Seminar\, Etha
 n Dyer\, Google
DESCRIPTION:Neural networks exhibit systematic\, empirically predictab
 le\, performance gains as a function of dataset and model size over ma
 ny orders of magnitude. I will discuss recent work attempting to under
 stand the origin of these neural scaling laws in deep neural networks 
 and solvable models.
URL:https://www.physics.wisc.edu/events/?id=6468
END:VEVENT
END:VCALENDAR