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An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

Qianyu Guo
Xiaofei Xie
Lei Ma
Q. Hu
Ruitao Feng
Li Li
Yang Liu
Jianjun Zhao
Xiaohong Li
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Papers citing "An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms"

3 / 3 papers shown
Title
Empowering the trustworthiness of ML-based critical systems through engineering activities
Empowering the trustworthiness of ML-based critical systems through engineering activities
J. Mattioli
Agnès Delaborde
Souhaiel Khalfaoui
Freddy Lecue
H. Sohier
F. Jurie
25
2
0
30 Sep 2022
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
741
0
19 Jun 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
2
0
03 Feb 2017