Jul 2026
SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift
A Similarity-based Generative Network (SGN) is proposed, a reusable framework that is trained once on labeled source data and applied to new target domains without parameter updates, demonstrating the effectiveness of SGN for target-guided data augmentation under source-to-target distribution shifts.
Jia-Qi Zhu, Xincheng Chen, Yuncheng Wu et al.
· arXiv.org · 0 citations