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METHOD:PUBLISH
UID:66323365-6338-4934-b362-353533306331
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Active Learning by Learning - Hsuan-Tien Lin\, Professor\, Nat
 ional Taiwan University\; Chief Data Science Consultant\, Appier Inc.
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20221106T090000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20201101T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20211107T020000
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TZNAME:PDT
DTSTART:20200308T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20210314T020000
RDATE:20220313T020000
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BEGIN:VEVENT
UID:e56728ff-e114-4af6-b2bb-077c89747c9f
DTSTAMP:20260411T083643Z
CLASS:PUBLIC
CREATED:20210106T181555Z
DESCRIPTION:Please register for this event here. Abstract: Active learning 
 is an important technique that helps reduce labeling efforts in machine le
 arning applications. Previously\, most active learning strategies are cons
 tructed based on some human-designed philosophy\; that is\, they reflect w
 hat human beings assume to be 'good labeling questions.' However\, given t
 hat a single human-designed philosophy is unlikely to work on all scenario
 s\, choosing and blending those strategies under different scenarios is an
  important but challenging practical task. This paper tackles this task by
  letting the machines…
DTSTART;TZID=America/Vancouver:20210114T163000
DTEND;TZID=America/Vancouver:20210114T173000
LAST-MODIFIED:20210610T230012Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Active Learning by Learning - Hsuan-Tien Lin\, Professor\, National
  Taiwan University\; Chief Data Science Consultant\, Appier Inc.
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/active-learning-learning-hsuan-tien-lin-prof
 essor-national-taiwan-university-chief-data
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