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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin, T. Chen, X. Ma, X. Xie, Z. Wang, and Y. Wang. AAAI, page 8360-8368. AAAI Press, (2023)

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Xiangqing Kong

Thay Kong

Seunghyun Kong

Deming Kong

Yuanbo Kong

Other publications of authors with the same name

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge.X. Shen, P. Dong, L. Lu, Z. Kong, Z. Li, M. Lin, C. Wu, and Y. Wang. CoRR, (2023)You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model.S. Tang, Y. Wang, Z. Kong, T. Zhang, Y. Li, C. Ding, Y. Wang, Y. Liang, and D. Xu. CoRR, (2022)MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.G. Yuan, X. Ma, W. Niu, Z. Li, Z. Kong, N. Liu, Y. Gong, Z. Zhan, C. He, Q. Jin and 6 other author(s). NeurIPS, page 20838-20850. (2021)Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge.C. Yang, Y. Sheng, P. Dong, Z. Kong, Y. Li, P. Yu, L. Yang, and X. Lin. DAC, page 1-2. IEEE, (2023)Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin and 5 other author(s). CoRR, (2022)HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.P. Dong, M. Sun, A. Lu, Y. Xie, K. Liu, Z. Kong, X. Meng, Z. Li, X. Lin, Z. Fang and 1 other author(s). CoRR, (2022)HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.P. Dong, M. Sun, A. Lu, Y. Xie, K. Liu, Z. Kong, X. Meng, Z. Li, X. Lin, Z. Fang and 1 other author(s). HPCA, page 442-455. IEEE, (2023)Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI.G. Yuan, Z. Liao, X. Ma, Y. Cai, Z. Kong, X. Shen, J. Fu, Z. Li, C. Zhang, H. Peng and 4 other author(s). ISQED, page 135-141. IEEE, (2021)The Lottery Ticket Hypothesis for Vision Transformers.X. Shen, Z. Kong, M. Qin, P. Dong, G. Yuan, X. Meng, H. Tang, X. Ma, and Y. Wang. CoRR, (2022)GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching.L. Yang, Z. Kong, T. Li, X. Bai, Z. Lin, and H. Cheng. CoRR, (2023)

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Disambiguation of "Kong, Zhenglun"

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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

Please choose a person to relate this publication to

Xiangqing Kong

Thay Kong

Seunghyun Kong

Deming Kong

Yuanbo Kong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kong, Zhenglun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

Please choose a person to relate this publication to

Xiangqing Kong

Thay Kong

Seunghyun Kong

Deming Kong

Yuanbo Kong

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
DIN 1505
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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.