S2Match: Self-paced sampling for data-limited semi-supervised learning

Dayan Guan, Yun Xing, Jiaxing Huang, Aoran Xiao, Abdulmotaleb El-Saddik, Shijian Lu

Abstract: Highlights•Introduced a valuable yet challenging setup in semi-supervised learning.•Analyzed the root causes that are related semi-supervised learning with limited data.•Designed a self-paced sampling technique that mitigates the challenges effectively.•Parameter-free method that is generally applicable to various tasks.•Outperformed the state-of-the-art consistently by large margins.