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DTSTART:20220313T100000
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DTSTART:20221106T090000
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DTSTART;TZID=America/Los_Angeles:20221014T133000
DTEND;TZID=America/Los_Angeles:20221014T143000
DTSTAMP:20260425T134813
CREATED:20221012T175304Z
LAST-MODIFIED:20221018T180930Z
UID:2264-1665754200-1665757800@ifds.info
SUMMARY:MLOpt @ UWash: Steve Mussmann
DESCRIPTION:Title: Data pruning via Machine Teaching \nAbstract: In this talk\, I discuss the problem of data pruning: given a fully labeled dataset and a training procedure\, select a subset such that training on that subset yields approximately the same test performance as training on the full dataset. I present our algorithm\, inspired by recent work in machine teaching. Through experimental results and theoretical analysis\, we find that machine teaching is an effective paradigm for data pruning. \nVirtual option available via IFDS mailing list.
URL:https://ifds.info/event/mlopt-uwash-steve-mussmann/
LOCATION:University of Washington\, Seattle\, 185 E Stevens Way NE\, Seattle\, WA\, 98195-2350\, United States
CATEGORIES:MLOpt@UWash
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