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Title : Lipschitz Normalization for Self-Attention
Layers with Application to Graph Neural Networks
Author : George Dasoulas, Kevin Scaman, Aladin
Virmaux
Institution : Noah’s Ark Lab, Huawei Technologies
France
Year : 2021
Journal : ICML
Source : Arxiv , Github
repository
Idea : 提出了 LipschitzNorm 来提高 GNN
模型性能,并利用 Lipschitz 连续性在理论上证明了方法的有效性
Title : Gradient Normalization for Generative
Adversarial Networks
Author : Yi-Lun Wu, Hong-Han Shuai, Zhi Rui Tam,
Hong-Yu Chiu
Institution : (台湾)國立交通大學
Year : 2021
Journal : ICCV2021
Source : arxiv , open
access , pdf ,
Official
Code
Idea :
提出了GN对整个模型进行Lipschitz约束来提高GAN训练的稳定性
Cite : Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam,
Hong-Yu Chiu; Proceedings of the IEEE/CVF International Conference on
Computer Vision (ICCV), 2021, pp. 6373-6382