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DTSTART:20190310T070000
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DTSTART:20181104T060000
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UID:69dba03fc33b5
DTSTART;TZID=America/Toronto:20190612T121500
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190612T121500
URL:https://uwaterloo.ca/data-systems-group/events/phd-seminar-holodetect-f
 ew-shot-learning-error-detection
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar • HoloDetect: Few-Shot Learning for Error Detection
CLASS:PUBLIC
DESCRIPTION:ALIREZA HEIDARI\, PHD CANDIDATE\nDavid R. Cheriton School of Co
 mputer Science\n\nWe introduce a few-shot learning framework for error det
 ection. We\nshow that data augmentation (a form of weak supervision) is ke
 y to\ntraining high-quality\, ML-based error detection models that require
 \nminimal human involvement.
DTSTAMP:20260412T133807Z
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