Challenges and Practices of Deep Learning Model Reengineering: A Case
Study on Computer Vision

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Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision

Empirical Software Engineering (EMSE), 2023

13 March 2023

Nicholas Synovic

George K. Thiruvathukal

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Papers citing "Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision"

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Title
NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models Xiaohan Bi Binhang Qi Hailong Sun Yantao Du Yue Yu Xiaojun Liang MoMe 97 0 0 15 Aug 2025
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis Nikita Ravi Abhinav Goel James C. Davis George K. Thiruvathukal 186 2 0 06 May 2025
Model Adaptation: Unsupervised Domain Adaptation without Source DataComputer Vision and Pattern Recognition (CVPR), 2020 Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 638 553 0 26 Feb 2025
How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration Shreyas Kumar Parida I. Gerostathopoulos Justus Bogner 286 0 0 01 Feb 2025
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual ExplanationsBigData Congress [Services Society] (BSS), 2024 Pegah Ahadian Wei Xu Sherry Wang Qiang Guan AI4TS 102 0 0 25 Dec 2024
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims Jason Jones Wenxin Jiang Nicholas Synovic George K. Thiruvathukal James C. Davis 166 12 0 12 Jun 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 142 1 0 29 Apr 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software Wenxin Jiang Jerin Yasmin Jason Jones Nicholas Synovic Jiashen Kuo Nathaniel Bielanski Yuan Tian George K. Thiruvathukal James C. Davis 175 16 0 01 Feb 2024
Test & Evaluation Best Practices for Machine Learning-Enabled Systems Jaganmohan Chandrasekaran Tyler Cody Nicola McCarthy Erin Lanus Laura J. Freeman 161 8 0 10 Oct 2023
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software Wenxin Jiang Jason Jones Jerin Yasmin Nicholas Synovic Rajeev Sashti Sophie Chen George K. Thiruvathukal Yuan Tian James C. Davis 138 1 0 05 Oct 2023
"I see models being a whole other thing": An Empirical Study of Pre-Trained Model Naming Conventions and A Tool for Enhancing Naming ConsistencyEmpirical Software Engineering (EMSE), 2023 Wenxin Jiang Chingwo Cheung Mingyu Kim Heesoo Kim George K. Thiruvathukal James C. Davis CVBM 289 6 0 02 Oct 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem Purvish Jajal Wenxin Jiang Arav Tewari Erik Kocinare Joseph Woo Anusha Sarraf Yung-Hsiang Lu George K. Thiruvathukal James C. Davis 191 7 0 30 Mar 2023