activity
20162022
most citedOn the (In)fidelity and Sensitivity for Explanations

63 citations · 90 across the 9 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 6 cited

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests

Sean Kulinski, Saurabh Bagchi, David I. Inouye

While previous distribution shift detection approaches can identify if a shift has occurred, these approaches cannot localize which specific features have caused a distribution shi…

cs.LG2021★ 2 cited

Shapley Explanation Networks

Rui Wang, Xiaoqian Wang, David I. Inouye

Shapley values have become one of the most popular feature attribution explanation methods. However, most prior work has focused on post-hoc Shapley explanations, which can be comp…