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

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

13 March 2023
Wenxin Jiang
Vishnu Banna
Naveen Vivek
Abhinav Goel
Nicholas Synovic
George K. Thiruvathukal
James C. Davis
    VLM
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Papers citing "Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision"

11 / 11 papers shown
Title
Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis
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
48
0
0
06 May 2025
What do we know about Hugging Face? A systematic literature review and
  quantitative validation of qualitative claims
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
26
5
0
12 Jun 2024
A Partial Replication of MaskFormer in TensorFlow on TPUs for the
  TensorFlow Model Garden
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden
Vishal Purohit
Wenxin Jiang
Akshath R. Ravikiran
James C. Davis
32
1
0
29 Apr 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in
  Open-Source Software
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
33
11
0
01 Feb 2024
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
Jaganmohan Chandrasekaran
Tyler Cody
Nicola McCarthy
Erin Lanus
Laura J. Freeman
30
5
0
10 Oct 2023
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software
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
36
1
0
05 Oct 2023
Naming Practices of Pre-Trained Models in Hugging Face
Naming Practices of Pre-Trained Models in Hugging Face
Wenxin Jiang
Chingwo Cheung
Mingyu Kim
Heesoo Kim
George K. Thiruvathukal
James C. Davis
CVBM
23
6
0
02 Oct 2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case
  Study in the ONNX Ecosystem
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
35
0
0
30 Mar 2023
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu
Weili Nie
De-An Huang
Zhiding Yu
Tom Goldstein
Anima Anandkumar
Chaowei Xiao
VLM
VPVLM
186
280
0
15 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
1