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Ali Alqahtani, Xianghua Xie and Mark W. Jones
Deep networks often possess a vast number of parameters, and their significant redundancy in parameterization has become a widely-recognized property. This presents significant challenges and restricts many deep learning applications, making the focus on...
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F. Zeng, L. Xie, X. Pang, W. Liu, Q. Nie, and X. Zhang
Pág. 1548 - 1554
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X. Z. Yuan, J. Y. Tong, G. M. Zeng, H. Li and W. Xie
Pág. 3262 - 3267
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Xie, X.; Lu, L.; Jia, M.; Li, H.; Seide, F.; Ma, W.-Y.
Pág. 589 - 601
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H. P. Fan, M. Xie, W. W. Wang, S. S. Hou, and W. Huang
Pág. 1162 - 1164
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Xie, Bin 1; Khanal, Samir K. 2; van Leeuwen, J. (Hans) 3,4,5; Veysey, Stephen W. 6; Thompson, Michael L. 7
Pág. 602 - 612
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M. Xie, S. S. Hou, and W. Huang
Pág. 743
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Hu, J, Xie, X J, Wang, Z F, Song, W J
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H. W. Zhao, L. T. Sun, X. Z. Zhang, Z. M. Zhang, X. H. Guo, W. He, P. Yuan, M. T. Song, J. Y. Li, Y. C. Feng, Y. Cao, X. X. Li, W. L. Zhan, B. W. Wei, and D. Z. Xie
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Xu, Xiaoyun, Xie, Bijun, Pan, Siyi, Yang, Erning, Wang, Kexin, Cenkowski, Stefan, Hydamake, Arnie W, Rao, Shan
Pág. 486 - 492
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