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An Empirical Study of Challenges in Converting Deep Learning Models
28 June 2022
Moses Openja
Amin Nikanjam
Ahmed Haj Yahmed
Foutse Khomh
Zhen Ming
Zhengyong Jiang
AAML
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Papers citing
"An Empirical Study of Challenges in Converting Deep Learning Models"
4 / 4 papers shown
Title
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
26
0
0
01 Nov 2024
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden
Vishal Purohit
Wenxin Jiang
Akshath R. Ravikiran
James C. Davis
19
1
0
29 Apr 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
32
3
0
25 Mar 2024
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
230
909
0
21 Apr 2018
1
