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kohpangwei authored Jul 10, 2017
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Expand Up @@ -26,4 +26,4 @@ we demonstrate that influence functions are useful for multiple purposes:
understanding model behavior, debugging models, detecting dataset errors,
and even creating visually-indistinguishable training-set attacks.

If you have questions, please contact Pang Wei Koh <[email protected]>.
If you have questions, please contact Pang Wei Koh (<[email protected]>).

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