2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam +1
In this paper, we propose a novel normalization method called gradient normalization (GN) to tackle the training instability of Generative Adversarial Networks (GANs) caused by the…
cs.CL2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh +3
With the rapid proliferation of online media sources and published news, headlines have become increasingly important for attracting readers to news articles, since users may be ov…