9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2020
An exploration of the influence of path choice in game-theoretic attribution algorithms
Geoff Ward, Sean Kamkar, Jay Budzik
We compare machine learning explainability methods based on the theory of atomic (Shapley, 1953) and infinitesimal (Aumann and Shapley, 1974) games, in a theoretical and experiment…
cs.LG2019★ 9 cited
Generalized Integrated Gradients: A practical method for explaining diverse ensembles
John Merrill, Geoff Ward, Sean Kamkar +2
We introduce Generalized Integrated Gradients (GIG), a formal extension of the Integrated Gradients (IG) (Sundararajan et al., 2017) method for attributing credit to the input vari…