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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Learning Compact Neural Networks
DTSTART:20180903T093000
DTEND:20180903T113000
DTSTAMP:20260407T051018Z
UID:27f757b0e2634ab8d39f24a72e3b60545b7ee2c9ed1621f473dd0deb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Shuxuan Guo\nEDIC candidacy exam\nExam president: Prof. Martin
  Jaggi\nThesis advisor: Prof. Pascal Fua\nThesis co-advisor: Dr. Mathieu S
 alzmann\nCo-examiner: Dr. François Fleuret\n\nAbstract\n\nBackground pape
 rs\nDistilling the Knowledge in a Neural Network\, by Hinton\, G.\, Vinya
 ls\, O.\, Dean\, J.\nRethinking Feature Distribution for Loss Functions in
  Image Classification\, by Wan\, W.\, et al.\nConstrained Convolutional Ne
 ural Networks for Weakly Supervised Segmentation\, by Pathak\, D.\, et al.
  \n 
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
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