Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization

Author:

Chen Weihan1,Wang Peisong1,Cheng Jian1

Affiliation:

1. Chinese Academy of Sciences,NLPR & AIRIA, Institute of Automation

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Chinese Academy of Sciences

Publisher

IEEE

Reference42 articles.

1. Accelerating Very Deep Convolutional Networks for Classification and Detection

2. LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

3. Mixed precision dnns: All you need is a good parametrization;uhlich;8th International Conference on Learning Representations ICLR 2020 Addis Ababa Ethiopia April 26-30 2020,2020

4. Efficient Processing of Deep Neural Networks: A Tutorial and Survey

5. Very deep convolutional networks for large-scale image recognition;simonyan;CoRR,2014

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