Yuangang Pan

Taming Overconfident Prediction on Unlabeled Data from Hindsight

2021 · arXiv (Cornell University)

Minimizing prediction uncertainty on unlabeled data is a key factor to achieve good performance in semi-supervised learning (SSL). The prediction uncertainty is typically expressed as the \emph{entropy} computed by the transformed probabilities in output space. …