Enhanced gradient learning for deep neural networks-Reference-Cited by-同舟云学术

Enhanced gradient learning for deep neural networks

Published:2021-11-09 Issue:2 Volume:16 Page:365-377
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yan Ming¹^ORCID,Yang Jianxi²,Chen Cen³,Zhou Joey Tianyi¹^ORCID,Pan Yi⁴,Zeng Zeng³

Affiliation:

1. Institute of High Performance Computing Agency for Science, Technology and Research Singapore

2. AI Research Center, School of Information Science and Engineering Chongqing Jiaotong University China

3. Institute for Infocomm Research Agency for Science, Technology and Research Singapore

4. Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12353

Reference44 articles.

1. Kolesnikov A. Beyer L. Zhai X. Puigcerver J. Yung J. Gelly S. Houlsby N.:Big transfer (bit): General visual representation learning. In:Vedaldi A. Bischof H. Brox T. Frahm J.‐M.(eds.)Computer Vision ‐ ECCV 2020‐16th European Conference Glasgow UK August 23‐28 2020 Proceedings Part V. Lecture Notes in Computer Science pp.491–507 vol.12350.Springer Berlin(2020)

2. Devlin J. Chang M.‐W. Lee K. Toutanova K.:BERT: pre‐training of deep bidirectional transformers for language understanding. InBurstein J. Doran C. Solorio T.(eds.)Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL‐HLT 2019 Minneapolis MN USA June 2‐7 2019 vol.1(Long and Short Papers) pp.4171–4186.Association for Computational Linguistics Arlington(2019)

3. Tan M. Le Q.V.:Efficientnet: Rethinking model scaling for convolutional neural networks. InChaudhuri K. Salakhutdinov R.(eds.) Proceedings of the 36th International Conference on Machine Learning ICML 2019 9‐15 June 2019 Long Beach CA. Proceedings of Machine Learning Research vol.97 pp.6105–6114.Curran Associates Red Hook(2019)

4. Real E. Aggarwal A. Huang Y. Le Q.V.:Regularized evolution for image classifier architecture search. In:Proceedings of the AAAI Conference on Artificial Intelligence vol.33 pp.4780–4789.AAAI Press Palo Alto(2019)

5. Hong G. Mao Z. Lin X. Chan S.H.:Student‐teacher learning from clean inputs to noisy inputs. In:Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition pp.12075–12084.IEEE Piscataway(2021)

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