most citedTowards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.AI2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)

Xiang Yin, Nico Potyka, Francesca Toni

Argumentative explainable AI has been advocated by several in recent years, with an increasing interest on explaining the reasoning outcomes of Argumentation Frameworks (AFs). Whil…

cs.LG2022★ 2 cited

Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data

Nico Potyka, Xiang Yin, Francesca Toni

There is broad agreement in the literature that explanation methods should be faithful to the model that they explain, but faithfulness remains a rather vague term. We revisit fait…