1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan +4
Recent work has suggested post-hoc explainers might be ineffective for detecting spurious correlations in Deep Neural Networks (DNNs). However, we show there are serious weaknesses…
cs.LG2021★ 1 cited
Failing Conceptually: Concept-Based Explanations of Dataset Shift
Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov +1
Despite their remarkable performance on a wide range of visual tasks, machine learning technologies often succumb to data distribution shifts. Consequently, a range of recent work…