Exploiting Human-AI Dependence for Learning to Defer
The learning to defer (L2D) framework allows models to defer their decisions to human
experts. For L2D, the Bayes optimality is the basic requirement of theoretical guarantees for …
experts. For L2D, the Bayes optimality is the basic requirement of theoretical guarantees for …
Learning to Reject Meets Long-tail Learning
Learning to reject (L2R) is a classical problem where one seeks a classifier capable of
abstaining on low-confidence samples. Most prior work on L2R has focused on minimizing …
abstaining on low-confidence samples. Most prior work on L2R has focused on minimizing …