The Science of Rejection: A Research Area for Human Computation

Abstract

We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.

To appear in the Proceedings of The 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021)

References in corpus (3)

• On Calibration of Modern Neural Networks
• The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
• Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration