title: Editing a classifier by rewriting its prediction rules
abstract: We propose a methodology for modifying the behavior of a classifier by directly rewriting its prediction rules. Our method 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.
authors: Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba Aleksander Madry
hIndex: Antonio Torralba 116