Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables
Machine learning models can achieve strong test performance while relying on demographic or acquisition-related shortcuts. We propose counterfactual (CF) marginalisation as a test-time evaluation procedure for assessing robustness of classification models to such variables. Given a CF image generator, we intervene on n...
Yasin Ibrahim, Hermione Warr, R. Evans et al.
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