Nvidia is seeking to patent a system for “fairness-based” neural network training using both real and synthetic data to create more balanced and accurate computer vision models. The system uses “bilevel optimization” to balance accuracy and fairness in how much synthetic versus real data is used to represent different attributes, and may also employ “group fairness measures” to avoid discriminating against “sensitive groups.”
