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Benchmarking Inference Performance of Deep Learning Models on Analog
  Devices

Benchmarking Inference Performance of Deep Learning Models on Analog Devices

24 November 2020
Omobayode Fagbohungbe
Lijun Qian
ArXivPDFHTML

Papers citing "Benchmarking Inference Performance of Deep Learning Models on Analog Devices"

6 / 6 papers shown
Title
Effect of Batch Normalization on Noise Resistant Property of Deep
  Learning Models
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe
Lijun Qian
24
10
0
15 May 2022
Impact of Learning Rate on Noise Resistant Property of Deep Learning
  Models
Impact of Learning Rate on Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe
Lijun Qian
24
3
0
08 May 2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of
  Deep Learning Models
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models
Omobayode Fagbohungbe
Lijun Qian
27
0
0
07 May 2022
Exploring the Impact of Virtualization on the Usability of the Deep
  Learning Applications
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications
Davood Ghatreh Samani
M. Salehi
14
7
0
17 Dec 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Yulin Shao
Soung Chang Liew
Deniz Gunduz
51
14
0
22 May 2021
Neural Network Compression for Noisy Storage Devices
Neural Network Compression for Noisy Storage Devices
Berivan Isik
Kristy Choi
Xin-Yang Zheng
Tsachy Weissman
Stefano Ermon
H. P. Wong
Armin Alaghi
10
12
0
15 Feb 2021
1