2021

Editing a classifier by rewriting its prediction rules

Santurkar, Shibani, Tsipras, Dimitris, Elango, Mahalaxmi et al.

Understand

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 .

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