Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations explores EAGLE is an information-theoretic framework for generating reliable post-hoc explanations of black-box ML models.. Commercial viability score: 6/10 in Model Explanations.
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