Zobrazeno 1 - 10
of 329
pro vyhledávání: '"CHEN Liangming"'
The question of what kind of convolutional neural network (CNN) structure performs well is fascinating. In this work, we move toward the answer with one more step by connecting zero stability and model performance. Specifically, we found that if a di
Externí odkaz:
http://arxiv.org/abs/2206.13100
Autor:
Teng, Xuan, Wang, Yongfei, Liu, Linglong, Yang, Hang, Wu, Mingming, Chen, Xiaoli, Ren, Yulong, Wang, Yunlong, Duan, Erchao, Dong, Hui, Jiang, Ling, Zhang, Yuanyan, Zhang, Wenwei, Chen, Rongbo, Liu, Shijia, Liu, Xi, Tian, Yunlu, Chen, Liangming, Wang, Yihua, Wan, Jianmin
Publikováno v:
In Plant Science September 2024 346
Autor:
Cui, Song, Song, Peizhe, Wang, Chaolong, Chen, Saihua, Hao, Benyuan, Xu, Zhuang, Cai, Liang, Chen, Xu, Zhu, Shanshan, Gan, Xiangchao, Dong, Hui, Hu, Yuan, Zhou, Liang, Hou, Haigang, Tian, Yunlu, Liu, Xi, Chen, Liangming, Liu, Shijia, Jiang, Ling, Wang, Haiyang, Jia, Guifang, Zhou, Shirong, Wan, Jianmin
Publikováno v:
In Molecular Plant 3 June 2024 17(6):935-954
Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point problem. In this paper, a novel method by acting the gradient activati
Externí odkaz:
http://arxiv.org/abs/2107.04228
In deep learning, it is usually assumed that the optimization process is conducted on a shape-fixed loss surface. Differently, we first propose a novel concept of deformation mapping in this paper to affect the behaviour of the optimizer. Vertical de
Externí odkaz:
http://arxiv.org/abs/2009.08274
In deep learning, it is usually assumed that the shape of the loss surface is fixed. Differently, a novel concept of deformation operator is first proposed in this paper to deform the loss surface, thereby improving the optimization. Deformation func
Externí odkaz:
http://arxiv.org/abs/2007.12515
Publikováno v:
In Applied Soft Computing December 2023 149 Part A
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Akademický článek
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Motivated by the challenging formation stabilization problem for mobile robotic teams when no distance or relative displacement measurements are available and each robot can only measure some of those angles formed by rays towards its neighbors, we d
Externí odkaz:
http://arxiv.org/abs/1908.01542