TL;DR本文介绍了在半监督学习中,利用credal sets of labels,并使用conformal prediction方法,以此弥补pseudo-labels方法的经验效果不理论支撑的不足,无论在伪监督的校准属性还是在基准数据集上都表现出了竞争力。
Abstract
In semi-supervised learning, the paradigm of self-training refers to the idea of learning from pseudo-labels suggested by the learner itself. Across various domains, corresponding methods have proven effective an