When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer

Shuqi Liu, Yuzhou Cao, Lei Feng +2

Learning to Defer (L2D) enables a classifier to abstain from predictions and defer to an expert, and has recently been extended to multi-expert settings. In this work, we show that…