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X-WR-CALNAME:Learning Novel Classes and Attributes While Wandering Within a
  World - Richard Zemel\, Professor\, University of Toronto
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TZID:America/Vancouver
TZUNTIL:20231105T090000Z
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DTSTART:20211107T020000
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RDATE:20221106T020000
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CREATED:20211108T232515Z
DESCRIPTION:Please register for this event here. Abstract: Real world learn
 ing scenarios involve a nonstationary distribution of classes with sequent
 ial dependencies among the samples\, in contrast to the standard machine l
 earning formulation of drawing samples independently from a fixed\, typica
 lly uniform distribution. Furthermore\, real world interactions demand lea
 rning and evaluation on-the-fly\, where new classes are learned online\, f
 rom few or no class labels. I will describe benchmark datasets and models 
 we have developed towards this aim. I will also discuss recent work in whi
 ch the learning can be…
DTSTART;TZID=America/Vancouver:20211122T140000
DTEND;TZID=America/Vancouver:20211122T150000
LAST-MODIFIED:20211109T162428Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Learning Novel Classes and Attributes While Wandering Within a Worl
 d - Richard Zemel\, Professor\, University of Toronto
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/learning-novel-classes-and-attributes-while-
 wandering-within-world-richard-zemel-professor
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