SDQ: Stochastic differentiable quantization with mixed precision

X Huang, Z Shen, S Li, Z Liu… - International …, 2022 - proceedings.mlr.press
In order to deploy deep models in a computationally efficient manner, model quantization
approaches have been frequently used. In addition, as new hardware that supports various …
被引用次数：39 相关文章

SDQ: Stochastic Differentiable Quantization with Mixed Precision

X Huang, Z Shen, S Li, Z Liu, X Hu… - arXiv e …, 2022 - ui.adsabs.harvard.edu
In order to deploy deep models in a computationally efficient manner, model quantization
approaches have been frequently used. In addition, as new hardware that supports mixed …

SDQ: Stochastic Differentiable Quantization with Mixed Precision

X Huang, Z Shen, S Li, Z Liu, X Hu… - … of Machine Learning …, 2022 - repository.ust.hk
In order to deploy deep models in a computationally efficient manner, model quantization
approaches have been frequently used. In addition, as new hardware that supports mixed …

SDQ: Stochastic Differentiable Quantization with Mixed Precision

X Huang, Z Shen, S Li, Z Liu, X Hu, J Wicaksana… - arXiv preprint arXiv …, 2022 - arxiv.org
In order to deploy deep models in a computationally efficient manner, model quantization
approaches have been frequently used. In addition, as new hardware that supports mixed …

SDQ: Stochastic Differentiable Quantization with Mixed Precision

X Huang, Z Shen, S Li, Z Liu, X Hu, J Wicaksana… - icml.cc
SDQ: Stochastic Differentiable Quantization with Mixed Precision Page 1 SDQ: Stochastic
Differentiable Quantization with Mixed Precision ICML 2022 Xijie Huang, Zhiqiang Shen, Shichao …

SDQ: Stochastic Differentiable Quantization with Mixed Precision

X Huang, Z Shen, S Li, Z Liu, X Hu, J Wicaksana… - 2022 - dclibrary.mbzuai.ac.ae
In order to deploy deep models in a computationally efficient manner, model quantization
approaches have been frequently used. In addition, as new hardware that supports mixed …