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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

S. Ye, X. Feng, T. Zhang, X. Ma, S. Lin, Z. Li, K. Xu, W. Wen, S. Liu, J. Tang, M. Fardad, X. Lin, Y. Liu, and Y. Wang. CoRR, (2019)

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Dr. -Ing. Xu Chu University of Stuttgart

Simulation and analytical modeling of high-speed droplet impact onto a surfaceY. Liu, X. Chu, G. Yang, and B. Weigand. Physics of fluids, 36 (1): 012137 (2024)

Xu Chu

Chensheng Xu University of Stuttgart

Tongyu Xu University of Stuttgart

Yichen Xu University of Stuttgart

Other publications of authors with the same name

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions.P. Zhao, K. Xu, S. Liu, Y. Wang, and X. Lin. ASP-DAC, page 499-505. ACM, (2019)Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation.S. Ye, K. Wu, M. Zhou, Y. Yang, S. Tan, K. Xu, J. Song, C. Bao, and K. Ma. CoRR, (2019)Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.S. Ye, X. Feng, T. Zhang, X. Ma, S. Lin, Z. Li, K. Xu, W. Wen, S. Liu, J. Tang and 4 other author(s). CoRR, (2019)Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.K. Xu, H. Chen, S. Liu, P. Chen, T. Weng, M. Hong, and X. Lin. IJCAI, page 3961-3967. ijcai.org, (2019)Intelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design.Y. Cai, M. Zhao, K. Xu, and R. Zhang. IEEE Trans. Wirel. Commun., 21 (1): 383-397 (2022)Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.S. Liu, S. Lu, X. Chen, Y. Feng, K. Xu, A. Al-Dujaili, M. Hong, and U. O'Reilly. CoRR, (2019)Interpreting Adversarial Examples by Activation Promotion and Suppression.K. Xu, S. Liu, G. Zhang, M. Sun, P. Zhao, Q. Fan, C. Gan, and X. Lin. CoRR, (2019)Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.P. Zhao, K. Xu, T. Zhang, M. Fardad, Y. Wang, and X. Lin. GlobalSIP, page 1169-1173. IEEE, (2018)Asymmetric Discrete Graph Hashing.X. Shi, F. Xing, K. Xu, M. Sapkota, and L. Yang. AAAI, page 2541-2547. AAAI Press, (2017)Progressive Weight Pruning of Deep Neural Networks using ADMM.S. Ye, T. Zhang, K. Zhang, J. Li, K. Xu, Y. Yang, F. Yu, J. Tang, M. Fardad, S. Liu and 3 other author(s). CoRR, (2018)

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Disambiguation of "Xu, Kaidi"

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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

Please choose a person to relate this publication to

Dr. -Ing. Xu Chu University of Stuttgart

Xu Chu

Chensheng Xu University of Stuttgart

Tongyu Xu University of Stuttgart

Yichen Xu University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Xu, Kaidi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

Please choose a person to relate this publication to

Dr. -Ing. Xu Chu University of Stuttgart

Xu Chu

Chensheng Xu University of Stuttgart

Tongyu Xu University of Stuttgart

Yichen Xu University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.