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cs.LG2021★ 12 cited
Revisiting Sanity Checks for Saliency Maps
Gal Yona, Daniel Greenfeld
Saliency methods are a popular approach for model debugging and explainability. However, in the absence of ground-truth data for what the correct maps should be, evaluating and com…
cs.LG2019
Robust Learning with the Hilbert-Schmidt Independence Criterion
Daniel Greenfeld, Uri Shalit
We investigate the use of a non-parametric independence measure, the Hilbert-Schmidt Independence Criterion (HSIC), as a loss-function for learning robust regression and classifica…