Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Kuhl U, Artelt A, Hammer B (2022)
In: 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM: 2125-2137.
Konferenzbeitrag
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Autor*in
Projekt
Erscheinungsjahr
2022
Titel des Konferenzbandes
2022 ACM Conference on Fairness, Accountability, and Transparency
Seite(n)
2125-2137
Konferenz
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
Konferenzort
Seoul, Republic of Korea
Konferenzdatum
2022-06-21 – 2022-06-24
ISBN
9781450393522
Page URI
https://pub.uni-bielefeld.de/record/2969736
Zitieren
Kuhl U, Artelt A, Hammer B. Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. In: 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM; 2022: 2125-2137.
Kuhl, U., Artelt, A., & Hammer, B. (2022). Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. 2022 ACM Conference on Fairness, Accountability, and Transparency, 2125-2137. New York, NY, USA: ACM. https://doi.org/10.1145/3531146.3534630
Kuhl, Ulrike, Artelt, André, and Hammer, Barbara. 2022. “Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting”. In 2022 ACM Conference on Fairness, Accountability, and Transparency, 2125-2137. New York, NY, USA: ACM.
Kuhl, U., Artelt, A., and Hammer, B. (2022). “Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting” in 2022 ACM Conference on Fairness, Accountability, and Transparency (New York, NY, USA: ACM), 2125-2137.
Kuhl, U., Artelt, A., & Hammer, B., 2022. Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. In 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM, pp. 2125-2137.
U. Kuhl, A. Artelt, and B. Hammer, “Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting”, 2022 ACM Conference on Fairness, Accountability, and Transparency, New York, NY, USA: ACM, 2022, pp.2125-2137.
Kuhl, U., Artelt, A., Hammer, B.: Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting. 2022 ACM Conference on Fairness, Accountability, and Transparency. p. 2125-2137. ACM, New York, NY, USA (2022).
Kuhl, Ulrike, Artelt, André, and Hammer, Barbara. “Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting”. 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM, 2022. 2125-2137.
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