Improving Label Error Detection and Elimination with Uncertainty Quantification

Johannes Jakubik, Michael Vössing, Manil Maskey +2

Identifying and handling label errors can significantly enhance the accuracy of supervised machine learning models. Recent approaches for identifying label errors demonstrate that…