APA (7th ed.) Citation

Guo, C., Zhang, C., Leng, J., Liu, Z., Yang, F., Liu, Y., . . . Zhu, Y. (2022, October). ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 1414-1433. https://doi.org/10.1109/MICRO56248.2022.00095

Chicago Style (17th ed.) Citation

Guo, Cong, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, and Yuhao Zhu. "ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization." 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO) Oct. 2022: 1414-1433. https://doi.org/10.1109/MICRO56248.2022.00095.

MLA (9th ed.) Citation

Guo, Cong, et al. "ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization." 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2022, pp. 1414-1433, https://doi.org/10.1109/MICRO56248.2022.00095.