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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Deep Learning Generalization with Limited and Noisy Labels
DTSTART:20230714T170000
DTSTAMP:20260407T103542Z
UID:d64ee0128dc05c1cce2d79ce92582ee3871525e105e6292f2509e06a
CATEGORIES:Thesis defenses
DESCRIPTION:Mahsa FOROUZESH\nThesis Director: Prof. P. Thiran\,\nComputer 
 and Communication Sciences doctoral program\nThesis Nr. 8988\n\nTo take p
 art in the public defense\, please contact directly the speaker
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201 https://epfl.zoom.us/j/
 69080319410?pwd=WkkxcTRmOXR6Q21UVTBTdHY4YjJLQT09
STATUS:CONFIRMED
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END:VCALENDAR