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DTSTART:20230312T070000
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DTSTART:20221106T060000
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DTSTART;TZID=America/Toronto:20230718T150000
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URL:https://uwaterloo.ca/computer-science/events/phd-defence-ml-nlp-less-is
 -more-restricted-representations-for-better-interpretability-and-generaliz
 ability
LOCATION:200 University Avenue West Online PhD defence Waterloo ON N2L 3G1 
 Canada
SUMMARY:PhD Defence • Machine Learning | Natural Language Processing •\
 nLess is More: Restricted Representations for Better Interpretability\nand
  Generalizability
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS PHD DEFENCE WILL TAKE PLACE ONLINE.\n\nZHIYIN
 G (GIN) JIANG\, PHD CANDIDATE\n_David R. Cheriton School of Computer Scien
 ce_\n\nSUPERVISOR: Professor Jimmy Lin\n\nIn this thesis\, we aim at impro
 ving interpretability and\ngeneralizability through restricting representa
 tions. We choose to\napproach interpretability by focusing on attribution 
 analysis to\nunderstand which features contribute to prediction on BERT\, 
 and to\napproach generalizability by focusing on effective methods in low-
 data\nregime.
DTSTAMP:20260410T054512Z
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