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X-WR-CALNAME:Analyzing deep neural networks using attribution
X-WR-TIMEZONE:America/Los_Angeles
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TZOFFSETFROM:-0800
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DTSTART:20070311T020000
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DTSTART:20071104T020000
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UID:2022-03-07-mukund-sundararajan@cml.ics.uci.edu
DTSTAMP:20220307T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20220307T130000
DTEND;TZID=America/Los_Angeles:20220307T140000
SUMMARY:[CML Seminar] Mukund Sundararajan: Analyzing deep neural networks u
sing attribution
LOCATION:Online (Zoom)
DESCRIPTION:Mukund Sundararajan\, Principal Research Scientist\, Google\n\n
Title: Analyzing deep neural networks using attribution\n\nAbstract: A tal
k on analyzing deep neural networks using attribution methods — includin
g integrated gradients\, counterfactual and Shapley-value approaches\, and
attributing predictions to training data — to understand and debug mode
l behavior (for example\, discovering that a cancer-from-X-rays model was
fixating on radiologist markings). (The speaker's original abstract was co
mposed in verse.)\n\nhttps://cml.ics.uci.edu/seminars/2022-03-07-mukund-su
ndararajan
X-ALT-DESC;FMTTYPE=text/html:Mukund Sundararajan\, Princ
ipal Research Scientist\, Google
Title: Analyzing deep neura
l networks using attribution
Abstract: A talk on analyzing d
eep neural networks using attribution methods — including integrated gra
dients\, counterfactual and Shapley-value approaches\, and attributing pre
dictions to training data — to understand and debug model behavior (for
example\, discovering that a cancer-from-X-rays model was fixating on radi
ologist markings). (The speaker's original abstract was composed in verse.
)
https://cml.ics.uci.edu/seminars/2022-03-07-mukund-sundararajan
URL:https://cml.ics.uci.edu/seminars/2022-03-07-mukund-sundararajan
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