Applying gradient ascent, LoRA, and distillation unlearning to biased vision models can reduce some subgroup disparities, but the headline accuracy and metric claims are not supported by the paper's own table.
Fast model debias with machine un- learning
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Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting
Applying gradient ascent, LoRA, and distillation unlearning to biased vision models can reduce some subgroup disparities, but the headline accuracy and metric claims are not supported by the paper's own table.