Details of Research Outputs

TitleMetaselection: Metaheuristic sub-structure selection for neural network pruning using evolutionary algorithm
Author (Name in English or Pinyin)
Zhang, Z.1,3; Li, Z.2,3; Lin, L.1; Lei, N.1; Li, G.1; Cui, S.2,4
Date Issued2020-08-24
Source PublicationFrontiers in Artificial Intelligence and Applications
ISSN09226389
DOI10.3233/FAIA200422
Indexed BySCOPUS
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 325 页: 2808-2815
References
[1] Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar "Designing neural network architectures using reinforcement learning "arXiv preprint arXiv: 1611. 02167, (2016).
[2] Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc Le "Understanding and simplifying one-shot architecture search "in International Conference on Machine Learning, pp. 549-558, (2018).
[3] Han Cai, Ligeng Zhu, and Song Han "Proxylessnas: Direct neural architecture search on target task and hardware "arXiv preprint arXiv: 1812. 00332, (2018).
[4] Kenneth Alan De Jong "Analysis of the behavior of a class of genetic adaptive systems "(1975).
[5] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei "ImageNet: A Large-Scale Hierarchical Image Database "in CVPR09, (2009).
[6] Jonathan Frankle and Michael Carbin "The lottery ticket hypothesis: Finding sparse, trainable neural networks "arXiv preprint arXiv: 1803. 03635, (2018).
[7] Ross Girshick "Fast r-cnn "in Proceedings of the IEEE international conference on computer vision, pp. 1440-1448, (2015).
[8] Babak Hassibi and David G Stork "Second order derivatives for network pruning: Optimal brain surgeon "in Advances in neural information processing systems, pp. 164-171, (1993).
[9] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun "Deep residual learning for image recognition "in Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778, (2016).
[10] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun "Deep residual learning for image recognition "in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (June 2016).
[11] Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, and Yi Yang "Soft filter pruning for accelerating deep convolutional neural networks "in Proceedings of the 27th International Joint Conference on Artificial Intelligence, pp. 2234-2240. AAAI Press, (2018).
[12] Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, and Song Han "Amc: Automl for model compression and acceleration on mobile devices "in Proceedings of the European Conference on Computer Vision (ECCV), pp. 784-800, (2018).
[13] Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam "Mobilenets: Efficient convolutional neural networks for mobile vision applications "arXiv preprint arXiv: 1704. 04861, (2017).
[14] Hengyuan Hu, Rui Peng, Yu-Wing Tai, and Chi-Keung Tang "Network trimming: A data-driven neuron pruning approach towards efficient deep architectures "arXiv preprint arXiv: 1607. 03250, (2016).
[15] Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian Q Weinberger "Deep networks with stochastic depth "in European conference on computer vision, pp. 646-661. Springer, (2016).
[16] Zehao Huang and NaiyanWang "Data-driven sparse structure selection for deep neural networks "in Proceedings of the European Conference on Computer Vision (ECCV), pp. 304-320, (2018).
[17] Alex Krizhevsky, Geoffrey Hinton, et al. "Learning multiple layers of features from tiny images "Technical report, Citeseer, (2009).
[18] Yann LeCun, John S Denker, and Sara A Solla "Optimal brain damage "in Advances in neural information processing systems, pp. 598-605, (1990).
[19] Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf "Pruning filters for efficient convnets "arXiv preprint arXiv: 1608. 08710, (2016).
[20] Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Tim Kwang-Ting Cheng, and Jian Sun "Metapruning: Meta learning for automatic neural network channel pruning "arXiv preprint arXiv: 1903. 10258, (2019).
[21] Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, and Changshui Zhang "Learning efficient convolutional networks through network slimming "in Proceedings of the IEEE International Conference on Computer Vision, pp. 2736-2744, (2017).
[22] Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, and Trevor Darrell "Rethinking the value of network pruning "arXiv preprint arXiv: 1810. 05270, (2018).
[23] Jian-Hao Luo, JianxinWu, andWeiyao Lin "Thinet: A filter level pruning method for deep neural network compression "in Proceedings of the IEEE international conference on computer vision, pp. 5058-5066, (2017).
[24] Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, and Jan Kautz "Pruning convolutional neural networks for resource efficient inference "arXiv preprint arXiv: 1611. 06440, (2016).
[25] Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V Le, and Alexey Kurakin "Largescale evolution of image classifiers "in Proceedings of the 34th International Conference on Machine Learning-Volume 70, pp. 2902-2911. JMLR. Org, (2017).
[26] Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen "Mobilenetv2: Inverted residuals and linear bottlenecks "in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (June 2018).
[27] Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V Le "Mnasnet: Platform-aware neural architecture search for mobile "in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2820-2828, (2019).
[28] Andreas Veit, Michael J Wilber, and Serge Belongie "Residual networks behave like ensembles of relatively shallow networks "in Advances in neural information processing systems, pp. 550-558, (2016).
[29] Lingxi Xie and Alan Yuille "Genetic cnn "in Proceedings of the IEEE International Conference on Computer Vision, pp. 1379-1388, (2017).
[30] Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, and Hartwig Adam "Netadapt: Platform-aware neural network adaptation for mobile applications "in Proceedings of the European Conference on Computer Vision (ECCV), pp. 285-300, (2018).
[31] Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S Davis "Nisp: Pruning networks using neuron importance score propagation "in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9194-9203, (2018).
[32] Barret Zoph and Quoc V Le "Neural architecture search with reinforcement learning "arXiv preprint arXiv: 1611. 01578, (2016).
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1934
CollectionSchool of Science and Engineering
Corresponding AuthorLi, Z.; Lin, L.
Affiliation
1.Dalian University of Technology, China
2.Chinese University of Hong Kong, Shenzhen, China
3.Shenzhen Research Institute of Big Data, China
4.Sun Yat-sen University, China
First Author AffilicationShenzhen Research Institute of Big Data
Corresponding Author AffilicationShenzhen Research Institute of Big Data
Recommended Citation
GB/T 7714
Zhang, Z.,Li, Z.,Lin, L.et al. Metaselection: Metaheuristic sub-structure selection for neural network pruning using evolutionary algorithm[J]. Frontiers in Artificial Intelligence and Applications,2020.
APA Zhang, Z., Li, Z., Lin, L., Lei, N., Li, G., & Cui, S. (2020). Metaselection: Metaheuristic sub-structure selection for neural network pruning using evolutionary algorithm. Frontiers in Artificial Intelligence and Applications.
MLA Zhang, Z.,et al."Metaselection: Metaheuristic sub-structure selection for neural network pruning using evolutionary algorithm".Frontiers in Artificial Intelligence and Applications (2020).
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