Mitigating Bias with Diverse Ensembles and Diffusion Models: A Comprehensive Study

The authors propose an ensemble diversification framework using Diffusion Probabilistic Models (DPMs) to mitigate shortcut bias, showcasing the generation of synthetic counterfactuals for ensemble disagreement. This approach effectively removes dependence on primary shortcut cues without the need for additional supervised signals.