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Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise

Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise

Zheyu Yan
Yifan Qin
Wujie Wen
X. Hu
Yi Shi
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Papers citing "Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise"

4 / 4 papers shown
Title
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators
Zheyu Yan
X. Hu
Yiyu Shi
29
1
0
11 Dec 2023
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
Zheyu Yan
Weiwen Jiang
X. S. Hu
Yiyu Shi
50
10
0
13 Sep 2021
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
38
24
0
06 Jul 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,796
0
24 Feb 2021