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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

7 May 2022
Omobayode Fagbohungbe
Lijun Qian
ArXivPDFHTML

Papers citing "Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models"

5 / 5 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
19
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
16
3
0
08 May 2022
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On
  Analog Compute-in-Memory Accelerator
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou
F. García-Redondo
Julian Büchel
I. Boybat
Xavier Timoneda Comas
S. Nandakumar
Shidhartha Das
A. Sebastian
M. Le Gallo
P. Whatmough
25
16
0
10 Nov 2021
A Joint Energy and Latency Framework for Transfer Learning over 5G
  Industrial Edge Networks
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks
Bofu Yang
Omobayode Fagbohungbe
Xuelin Cao
Chau Yuen
Lijun Qian
Dusit Niyato
Yan Zhang
24
31
0
19 Apr 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,196
0
16 Nov 2016
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