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Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.

S. Huang, D. Xu, I. Yen, S. Chang, B. Li, S. Chen, M. Xie, H. Liu, and C. Ding. CoRR, (2021)

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En-Chul Chang

In-Sung Chang

Sung Pil Chang

Yu-Sung Chang

Chang-Sung Lim

Other publications of authors with the same name

Learning Tensor Latent Features.S. Chang, X. Zheng, I. Yen, P. Ravikumar, and R. Yu. CoRR, (2018)Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.S. Huang, D. Xu, I. Yen, S. Chang, B. Li, S. Chen, M. Xie, H. Liu, and C. Ding. CoRR, (2021)MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.I. Yen, W. Lee, K. Zhong, S. Chang, P. Ravikumar, and S. Lin. NeurIPS, page 10891-10899. (2018)FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.M. Sun, Z. Li, A. Lu, Y. Li, S. Chang, X. Ma, X. Lin, and Z. Fang. FPGA, page 134-145. ACM, (2022)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin and 2 other author(s). DAC, page 1396-1397. ACM, (2022)Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.S. Chang, Y. Li, M. Sun, R. Shi, H. So, X. Qian, Y. Wang, and X. Lin. CoRR, (2020)MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.S. Chang, Y. Li, M. Sun, W. Jiang, R. Shi, X. Lin, and Y. Wang. CoRR, (2020)Latent Feature Lasso.I. Yen, W. Lee, S. Chang, A. Suggala, S. Lin, and P. Ravikumar. ICML, volume 70 of Proceedings of Machine Learning Research, page 3949-3957. PMLR, (2017)ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin and 2 other author(s). DATE, page 1-6. IEEE, (2023)You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.G. Yuan, S. Chang, Q. Jin, A. Lu, Y. Li, Y. Wu, Z. Kong, Y. Xie, P. Dong, M. Qin and 4 other author(s). ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 34-51. Springer, (2022)

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Disambiguation of "Chang, Sung-En"

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Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.

Please choose a person to relate this publication to

En-Chul Chang

In-Sung Chang

Sung Pil Chang

Yu-Sung Chang

Chang-Sung Lim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chang, Sung-En"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.

Please choose a person to relate this publication to

En-Chul Chang

In-Sung Chang

Sung Pil Chang

Yu-Sung Chang

Chang-Sung Lim

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.