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  • Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise
Title: Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise
Award ID(s):
2006748 2011236
PAR ID:
10462379
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
IEEE/ACM 2023 International Conference on Computer-Aided Design
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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