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A fair generative model using lecam divergence
We explore a fairness-related challenge that arises in generative models. The challenge is
that biased training data with imbalanced demographics may yield a high asymmetry in size …
that biased training data with imbalanced demographics may yield a high asymmetry in size …
Cat: Controllable attribute translation for fair facial attribute classification
As the social impact of visual recognition has been under scrutiny, several protected-
attribute balanced datasets emerged to address dataset bias in imbalanced datasets …
attribute balanced datasets emerged to address dataset bias in imbalanced datasets …
A fair generative model using total variation distance
We explore a fairness-related challenge that arises in generative models. The challenge is
that biased training data with imbalanced representations of demographic groups may yield …
that biased training data with imbalanced representations of demographic groups may yield …