A Simulation-based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning

Recent years have witnessed growing interest in understanding the sensitivity of machine learning to training data characteristics. While researchers have claimed the benefits of activities such as a human-in-the-loop approach of interactive label correction for improving model performance, there ha...

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Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 26. Sept.
Auteur principal: Wang, Yixuan (Auteur)
Autres auteurs: Zhao, Jieqiong, Hong, Jiayi, Askin, Ronald G, Maciejewski, Ross
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article