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.
Recognition in terra incognita
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.