From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.

T. Yang, D. Li, Z. Song, Y. Zhao, F. Liu, Z. Wang, Z. He, и L. Jiang. DATE, стр. 700-705. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Hao Wang

Shifeng Wang

Zhongxin Wang

Другие публикации лиц с тем же именем

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, T. Yang, J. Feng, X. Liang, и L. Jiang. ICCD, стр. 417-424. IEEE, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.C. Nie, Z. Wang, Q. Tang, C. Lv, L. Jiang, и Z. He. ISQED, стр. 1-6. IEEE, (2022)SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.F. Liu, N. Yang, H. Li, Z. Wang, Z. Song, S. Pei, и L. Jiang. HPCA, стр. 1029-1042. IEEE, (2024)SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks.F. Liu, W. Zhao, Y. Chen, Z. Wang, и L. Jiang. AAAI, стр. 1692-1701. AAAI Press, (2022)Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point.F. Liu, W. Zhao, Z. He, Y. Wang, Z. Wang, C. Dai, X. Liang, и L. Jiang. ICCV, стр. 5261-5270. IEEE, (2021)Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, Y. Chen, и L. Jiang. ICCAD, стр. 1-9. IEEE, (2021)DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.T. Yang, D. Li, Z. Song, Y. Zhao, F. Liu, Z. Wang, Z. He, и L. Jiang. DATE, стр. 700-705. IEEE, (2022)HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine.Q. Tang, Z. He, F. Liu, Z. Wang, Y. Zhou, Y. Zhang, и L. Jiang. ASP-DAC, стр. 226-231. IEEE, (2022)PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.F. Liu, W. Zhao, Y. Chen, Z. Wang, Z. He, R. Yang, Q. Tang, T. Yang, C. Zhuo, и L. Jiang. DAC, стр. 1087-1092. ACM, (2022)EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks.F. Liu, W. Zhao, Z. Wang, Y. Chen, Z. He, N. Jing, X. Liang, и L. Jiang. DAC, стр. 259-264. ACM, (2022)

BibSonomy

Disambiguation