BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69da13ae2a70f
DTSTART;TZID=America/Toronto:20230328T090000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20230328T100000
URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-ml-approaches-and-techniques-to-enhance-efficiency-and-performance-of-no
 n-contrastive-self-supervised-learning-methods
LOCATION:200 University Avenue West Online master’s thesis presentation W
 aterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Machine Learning • Approaches 
 and\nTechniques to Enhance Efficiency and Performance of Non-Contrastive\n
 Self-Supervised Learning Methods
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL TAKE PLAC
 E\nONLINE.\n\nALI SAHEB PASAND\, MASTER’S CANDIDATE\n_David R. Cheriton 
 School of Computer Science_\n\nSUPERVISOR: Professor Ali Ghodsi
DTSTAMP:20260411T092606Z
END:VEVENT
END:VCALENDAR