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:6831e7e1529b6
DTSTART;TZID=America/Toronto:20230329T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20230329T130000
URL:/computer-science/events/phd-seminar-artificial-int
 elligence-less-is-more-parameter-free-text-classification-with-gzip
SUMMARY:PhD Seminar • Artificial Intelligence • Less is More:\nParamete
 r-Free Text Classification with Gzip
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPLEASE NOTE: THIS PHD SEMINAR WILL TAKE PLACE ONLIN
 E.\n\nZHIYING JIANG\, PHD CANDIDATE\n_David R. Cheriton School of Computer
  Science_\n\nSUPERVISOR: Professor Jimmy Lin\n\nDeep neural networks (DNNs
 ) are often used for text classification due\nto their high accuracy. Howe
 ver\, DNNs can be computationally\nintensive\, requiring millions of param
 eters and large amounts of\nlabeled data\, which can make them expensive t
 o use\, to optimize\, and\nto transfer to out-of-distributed (OOD) cases i
 n practice.\n 
DTSTAMP:20250524T153809Z
END:VEVENT
END:VCALENDAR