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Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

T. Zhang, M. Xue, J. Zhang, H. Zhang, Y. Wang, L. Cheng, J. Song, and M. Song. CVPR, page 20176-20185. IEEE, (2023)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Fuqing Zhang

Yong Zhang

Other publications of authors with the same name

Use Multilayer Perceptron in Calibrating Multistage Non-linearity of Split Pipelined-ADC.T. Zhang, Y. Cao, F. Ye, and J. Ren. ISCAS, page 1-5. IEEE, (2018)Transition Propagation Graph Neural Networks for Temporal Networks.T. Zheng, Z. Feng, T. Zhang, Y. Hao, M. Song, X. Wang, X. Wang, J. Zhao, and C. Chen. CoRR, (2023)An Operational Amplifier Assisted Input Buffer and An Improved Bootstrapped Switch for High-Speed and High-Resolution ADCs.Y. Cao, T. Zhang, Y. Chen, F. Ye, and J. Ren. ISCAS, page 1-5. IEEE, (2018)An improved ring amplifier with process- and supply voltage-insensitive dead-zone.Y. Cao, Y. Chen, T. Zhang, F. Ye, and J. Ren. MWSCAS, page 811-814. IEEE, (2017)Disentangling Node Metric Factors for Temporal Link Prediction.T. Zhang, T. Zheng, Y. Wan, Y. Li, and W. Huang. ICONIP (2), volume 14448 of Lecture Notes in Computer Science, page 346-357. Springer, (2023)Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.T. Zhang, M. Xue, J. Zhang, H. Zhang, Y. Wang, L. Cheng, J. Song, and M. Song. CVPR, page 20176-20185. IEEE, (2023)Machine Learning Based Prior-Knowledge-Free Calibration for Split Pipelined-SAR ADCs with Open-Loop Amplifiers Achieving 93.7-dB SFDR.T. Zhang, Y. Cao, S. Zhang, C. Chen, F. Ye, and J. Ren. ESSCIRC, page 189-192. IEEE, (2019)A 91.0-dB SFDR Single-Coarse Dual-Fine Pipelined-SAR ADC With Split-Based Background Calibration in 28-nm CMOS.Y. Cao, S. Zhang, T. Zhang, Y. Chen, Y. Zhao, C. Chen, F. Ye, and J. Ren. IEEE Trans. Circuits Syst. I Regul. Pap., 68 (2): 641-654 (2021)Graph Neural Networks-based hybrid framework for predicting particle crushing strength.T. Zheng, T. Zhang, Q. Guan, W. Huang, Z. Feng, M. Song, and C. Chen. Expert Syst. Appl., (2024)

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Disambiguation of "Zhang, Tianli"

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Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Yong Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Tianli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Yong Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.