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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. CoRR, (2022)

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Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Reinhard Geng

Other publications of authors with the same name

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.C. Zhang, G. Yuan, W. Niu, J. Tian, S. Jin, D. Zhuang, Z. Jiang, Y. Wang, B. Ren, S. Song and 1 other author(s). CoRR, (2020)A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.M. Zabihi, Y. Xie, Z. Li, P. Dong, G. Yuan, O. Chen, M. Pedram, and Y. Wang. CoRR, (2023)A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation.G. Yuan, X. Ma, S. Lin, Z. Li, and C. Ding. CoRR, (2019)Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.W. Niu, Z. Kong, G. Yuan, W. Jiang, J. Guan, C. Ding, P. Zhao, S. Liu, B. Ren, and Y. Wang. CoRR, (2020)Memristor crossbar-based ultra-efficient next-generation baseband processors.G. Yuan, C. Ding, R. Cai, X. Ma, Z. Zhao, A. Ren, B. Yuan, and Y. Wang. MWSCAS, page 1121-1124. IEEE, (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)YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.Y. Cai, H. Li, G. Yuan, W. Niu, Y. Li, X. Tang, B. Ren, and Y. Wang. AAAI, page 955-963. AAAI Press, (2021)Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.G. Yuan, P. Dong, M. Sun, W. Niu, Z. Li, Y. Cai, J. Liu, W. Jiang, X. Lin, B. Ren and 2 other author(s). RTAS, page 493-496. IEEE, (2021)Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.Z. Li, M. Sun, A. Lu, H. Ma, G. Yuan, Y. Xie, H. Tang, Y. Li, M. Leeser, Z. Wang and 2 other author(s). FPL, page 109-116. IEEE, (2022)Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.S. Chen, G. Yuan, X. Cheng, Y. Gong, M. Qin, Y. Wang, and X. Huang. ICLR, OpenReview.net, (2023)

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Disambiguation of "Yuan, Geng"

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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

Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Reinhard Geng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yuan, Geng"

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

Klaus Geng

Hui Geng

Hong Geng

Xiaoyun Geng

Reinhard Geng

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