2024
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
AAAI 2024technical
Semi-supervised learning algorithms that use pseudo-labeling have become increasingly popular for improving model performance by utilizing both labeled and unlabeled data. In this paper, we offer a fresh perspective on the selection of pseudo-labels, inspired by theoretical insights. We suggest tha…