Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models. (arXiv:2206.11126v1 [cs.LG])

With the rapid development of eXplainable Artificial Intelligence (XAI), a
long line of past work has shown concerns about the Out-of-Distribution (OOD)
problem in perturbation-based post-hoc XAI models and explanations are socially
misaligned. We explore the limitations of post-hoc explanation methods that use
approximators to mimic the behavior of black-box models. Then we propose
eXplanation-based Counterfactual Retraining (XCR), which extracts feature
importance fastly. XCR applies the explanations generated by the XAI model as
counterfactual input to retrain the black-box model …

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