We present a methodology for modifying the behavior of a classifier by directly rewriting its prediction rules. Our approach requires virtually no additional data collection and can be applied to a variety of settings, including adapting a model to new environments, and modifying it to ignore spurious features. Our code is available at https://github.com/MadryLab/EditingClassifiers .
@article{arxiv.2112.01008,
title = {Editing a classifier by rewriting its prediction rules},
author = {Shibani Santurkar and Dimitris Tsipras and Mahalaxmi Elango and David Bau and Antonio Torralba and Aleksander Madry},
journal= {arXiv preprint arXiv:2112.01008},
year = {2021}
}