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Design Smells in Deep Learning Programs: An Empirical Study

Design Smells in Deep Learning Programs: An Empirical Study

5 July 2021
Amin Nikanjam
Foutse Khomh
ArXivPDFHTML

Papers citing "Design Smells in Deep Learning Programs: An Empirical Study"

3 / 3 papers shown
Title
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Mohammad Mehdi Morovati
Amin Nikanjam
Foutse Khomh
Zhen Ming
Z. Jiang
32
20
0
24 Jun 2022
Challenges in Migrating Imperative Deep Learning Programs to Graph
  Execution: An Empirical Study
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
Tatiana Castro Vélez
Raffi Khatchadourian
M. Bagherzadeh
A. Raja
27
9
0
24 Jan 2022
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
1