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Negative Feedback Training: A Novel Concept to Improve Robustness of
  NVCIM DNN Accelerators
v1v2v3v4 (latest)

Negative Feedback Training: A Novel Concept to Improve Robustness of NVCIM DNN Accelerators

23 May 2023
Yifan Qin
Zheyu Yan
Wujie Wen
X. Hu
Yiyu Shi
ArXiv (abs)PDFHTML

Papers citing "Negative Feedback Training: A Novel Concept to Improve Robustness of NVCIM DNN Accelerators"

3 / 3 papers shown
Title
Computing-In-Memory Neural Network Accelerators for Safety-Critical
  Systems: Can Small Device Variations Be Disastrous?
Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous?
Zheyu Yan
X. S. Hu
Yiyu Shi
75
20
0
15 Jul 2022
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural
  Accelerators with Application to Neural Architecture Search
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
85
27
0
06 Jul 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and
  Directions
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
115
121
0
09 Jun 2021
1