Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?

15 July 2022

Papers citing "Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?"

5 / 5 papers shown

Title
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. Hu Yiyu Shi 16 1 0 11 Dec 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding Zhilu Wang Chao Huang Qi Zhu AAML 26 18 0 26 Mar 2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices Yi Sheng Junhuan Yang Yawen Wu Kevin Mao Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 62 28 0 23 Feb 2022
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search Zheyu Yan Weiwen Jiang X. S. Hu Yiyu Shi 32 9 0 13 Sep 2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search Zheyu Yan Da-Cheng Juan X. S. Hu Yiyu Shi 19 24 0 06 Jul 2021