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20192026
most citedKeep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

24 citations · 109 across the 28 of their papers we have counts for

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cs.HC2022★ 22 cited

Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning

Ulrike Kuhl, André Artelt, Barbara Hammer

To foster usefulness and accountability of machine learning (ML), it is essential to explain a model's decisions in addition to evaluating its performance. Accordingly, the field o…