Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning

1 code implementation • 21 Sep 2023 • Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang

In open-world semi-supervised learning, a machine learning model is tasked with uncovering novel categories from unlabeled data while maintaining performance on seen categories from labeled data.

Novel Class Discovery Open-World Semi-Supervised Learning +1

Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need

1 code implementation • CVPR 2023 • Tong Wei, Kai Gan

While long-tailed semi-supervised learning (LTSSL) has received tremendous attention in many real-world classification problems, existing LTSSL algorithms typically assume that the class distributions of labeled and unlabeled data are almost identical.