Hossein Amirkhani

Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

Existing techniques for mitigating dataset bias often leverage a biased model to identify biased instances. The role of these biased instances is then reduced during the training of the main model to enhance its robustness to out-of-distribution data. A common core assumption of these techniques is…