Mitigating Bias Using Model-Agnostic Data Attribution

Sander De Coninck, Sam Leroux, Pieter Simoens

Mitigating bias in machine learning models is a critical endeavor for ensuring fairness and equity. In this paper, we propose a novel approach to address bias by leveraging pixel i…