RG-TTA uses reinforcement learning at test time to gate fairness regularization by estimated bias sensitivity, reducing stereotypes on FairFace and UTKFace while improving zero-shot utility.
arXiv preprint arXiv:2406.11331 , year =
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Selective Test-Time Debiasing for CLIP via Reward Gating
RG-TTA uses reinforcement learning at test time to gate fairness regularization by estimated bias sensitivity, reducing stereotypes on FairFace and UTKFace while improving zero-shot utility.