7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang, Meng Wang, Sijia Liu +2
Self-training, a semi-supervised learning algorithm, leverages a large amount of unlabeled data to improve learning when the labeled data are limited. Despite empirical successes,…
cs.LG2020★ 7 cited
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Shuai Zhang, Meng Wang, Sijia Liu +2
Although graph neural networks (GNNs) have made great progress recently on learning from graph-structured data in practice, their theoretical guarantee on generalizability remains…