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References

1 
Y. LeCun, Y. Bengio, G. Hinton, “Deep learning,” Nature, vol.521, pp.436-444, 2015.DOI
2 
Z. Liu, J. Li, Z. Shen, G. Huang, S. Yan, C., Zhang, “Learning efficient convolutional networks through network slimming,” Proc. of the IEEE Conference on Computer Vision, pp. 2736-2744, 2017.URL
3 
Lin. C, Zhong. Z, Wei. W, and Yan. J, “Synaptic strength for convolutional neural network,” Proc. of Advances in Neural Information Processing Systems, pp. 10149-10158, 2018.URL
4 
J. D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.URL
5 
Xie, A. Yuille, “Genetic CNN,” Proc. of the IEEE Conference on Computer Vision/ and Pattern Recognition, 2017.URL
6 
X. Dong and Y. Yang, “Network pruning via transformable architecture search,” Proc. of Advances in Neural Information Processing Systems. 2019.URL
7 
Y. He, P. Liu, Z. Wang, and Y. Yang, “Pruning filter via geometric median for deep convolutional neural networks acceleration,” Proc. of the IEEE Conference on Computer Vision/ and Pattern Recognition, 2019.URL
8 
M. Lin, R. Ji, Y. Wang, Y. Zhang, B. Zhang, Y. Tian, and L. Shao. “Hrank : Filter pruning using high-rank feature map,” Proc. of the IEEE Conference on Computer Vision/ and Pattern Recognition, 2020.URL
9 
The CIFAR-10/100 dataset.URL
10 
K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” In Proceedings of the IEEE International Conference on Computer Vision. and Pattern Recognition, 2016.URL