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DTSTART:20200308T070000
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DTSTART:20191103T060000
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UID:69b1a04ed4c61
DTSTART;TZID=America/Toronto:20200319T103000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200319T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-ze
 ro-shot-learning-generalized-information
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Zero-Shot Learning: Generalized Information Transfer\nA
 cross Classes
CLASS:PUBLIC
DESCRIPTION:YUHONG GUO\, SCHOOL OF COMPUTER SCIENCE\n_Carleton University_\
 n\nThe need for annotated data is a fundamental bottleneck in developing\n
 automated prediction systems. A key strategy for reducing the reliance\non
  human annotation is to exploit generalized information transfer\,\nwhere 
 a limited data resource is augmented with labeled data collected\nfrom rel
 ated sources. 
DTSTAMP:20260311T170310Z
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