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DTSTART:20230312T070000
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DTSTART:20221106T060000
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UID:69df87374a8e8
DTSTART;TZID=America/Toronto:20230329T120000
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URL:https://uwaterloo.ca/computer-science/events/phd-seminar-artificial-int
 elligence-less-is-more-parameter-free-text-classification-with-gzip
LOCATION:200 University Avenue West Online PhD seminar Waterloo ON N2L 3G1 
 Canada
SUMMARY:PhD Seminar • Artificial Intelligence • Less is More:\nParamete
 r-Free Text Classification with Gzip
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS PHD SEMINAR WILL TAKE PLACE ONLINE.\n\nZHIYIN
 G 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. However\, DNNs c
 an be computationally\nintensive\, requiring millions of parameters and la
 rge amounts of\nlabeled data\, which can make them expensive to use\, to o
 ptimize\, and\nto transfer to out-of-distributed (OOD) cases in practice.
DTSTAMP:20260415T124023Z
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