Bias Mitigation in Visual Models Through Split-Model Regularization: A Case Study in Online Class Participants' Engagement Classification
J Thiering - 2022 - search.proquest.com
Addressing the issue of bias in deep learning models for visual tasks is challenging. Deep
learning models often learn by minimizing training error through observation of spurious …
learning models often learn by minimizing training error through observation of spurious …