Learning to Teach Fairness-aware Deep Multi-task Learning. (arXiv:2206.08403v1 [cs.LG])

Web: http://arxiv.org/abs/2206.08403

Fairness-aware learning mainly focuses on single task learning (STL). The
fairness implications of multi-task learning (MTL) have only recently been
considered and a seminal approach has been proposed that considers the
fairness-accuracy trade-off for each task and the performance trade-off among
different tasks. Instead of a rigid fairness-accuracy trade-off formulation, we
propose a flexible approach that learns how to be fair in a MTL setting by
selecting which objective (accuracy or fairness) to optimize at each step. We
introduce the …

arxiv deep fairness learning lg multi-task learning