Right for the Wrong Reason: Can Interpretable ML Techniques Detect
Spurious Correlations?

v1v2 (latest)

Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

23 July 2023

Christian F. Baumgartner

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Papers citing "Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?"

5 / 5 papers shown

Title
Mask of truth: model sensitivity to unexpected regions of medical images Théo Sourget Michelle Hestbek-Møller Amelia Jiménez-Sánchez Jack Junchi Xu Veronika Cheplygina AAML 183 0 0 05 Dec 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation Badr-Eddine Marani Mohamed Hanini Nihitha Malayarukil Stergios Christodoulidis Maria Vakalopoulou Enzo Ferrante 50 0 0 02 Jul 2024
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 128 13 0 02 Oct 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 100 5 0 30 Mar 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,197 0 16 Feb 2016