Luping Zhou

MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization

2022 · arXiv (Cornell University)

The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore …