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When Single Event Upset Meets Deep Neural Networks: Observations,
  Explorations, and Remedies

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies

10 September 2019
Zheyu Yan
Yiyu Shi
Wang Liao
M. Hashimoto
Xichuan Zhou
Cheng Zhuo
    AAML
ArXiv (abs)PDFHTML

Papers citing "When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies"

10 / 10 papers shown
Title
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN
  Inference
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Weiwen Jiang
E. Sha
Xinyi Zhang
Lei Yang
Qingfeng Zhuge
Yiyu Shi
Jiaxi Hu
58
75
0
21 Jul 2019
Learning Phase Competition for Traffic Signal Control
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng
Yuanhao Xiong
Xinshi Zang
J. Feng
Hua Wei
Huichu Zhang
Yong Li
Kai Xu
Z. Li
70
227
0
12 May 2019
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation
  Aware Neural Architecture Search
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search
Weiwen Jiang
Xinyi Zhang
E. Sha
Lei Yang
Qingfeng Zhuge
Yiyu Shi
Jiaxi Hu
64
124
0
31 Jan 2019
Intrinsic Image Transformation via Scale Space Decomposition
Intrinsic Image Transformation via Scale Space Decomposition
Lechao Cheng
Chengyi Zhang
Zicheng Liao
62
39
0
25 May 2018
Progressive Color Transfer with Dense Semantic Correspondences
Progressive Color Transfer with Dense Semantic Correspondences
Mingming He
Jing Liao
DongDong Chen
Lu Yuan
Pedro Sander
99
34
0
02 Oct 2017
On the Robustness of Convolutional Neural Networks to Internal
  Architecture and Weight Perturbations
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations
N. Cheney
Martin Schrimpf
Gabriel Kreiman
OOD
52
45
0
23 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,279
0
16 Dec 2013
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