Editing a classifier by rewriting its prediction rules
Shibani Santurkar,Dimitris Tsipras,Mahalaxmi Elango,David Bau,Antonio Torralba,Aleksander Madry
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.
