Training Fair Tabular Foundation Models
This work incorporates fairness constraints directly into TFM training, enabling fair predictions in a single forward pass and proposes FairTFM, a scalable training strategy based on synthetic fairness tasks and a fairness-aware architecture using a gradient reversal layer, which encourages the model to learn represent...