RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks
Author:
Affiliation:
1. Yonsei University,Department of Electrical and Electronic Engineering,Seoul,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247670.pdf?arnumber=10247670
Reference5 articles.
1. Ares
2. Robust quantization: One model to rule them all;chmiel;Advances in neural information processing systems,2020
3. SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks
4. Value-aware Parity Insertion ECC for Fault-tolerant Deep Neural Network
5. DRIS-3
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