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Switch harmful and helpful lists #32

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Fixes #11.

The most helpful samples are those with the "most positive -I_{up, loss}" (page 6 Koh and Liang paper). Since influences contains the I_{up, loss} for each training sample, the most helpful samples should be those indices in ascending order.

The most helpful samples are those with the "most positive -I_{up, loss}" (page 6 Koh and Liang paper). Since influences contains the I_{up, loss} for each training sample, the most helpful samples should be those indices in ascending order.
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why large influence is harmful
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