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An Experience Report on Machine Learning Reproducibility: Guidance for
  Practitioners and TensorFlow Model Garden Contributors
v1v2 (latest)

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

2 July 2021
Vishnu Banna
Akhil Chinnakotla
Zhengxin Yan
Anirudh Vegesana
Naveen Vivek
Kruthi Krishnappa
Wenxin Jiang
Yung-Hsiang Lu
George K. Thiruvathukal
James C. Davis
    VLM
ArXiv (abs)PDFHTML

Papers citing "An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors"

7 / 7 papers shown
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series
  Analysis with Temporal Attention Mechanism and Counterfactual Explanations
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
176
0
0
25 Dec 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
306
1
0
29 Apr 2024
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 VisionEmpirical Software Engineering (EMSE), 2023
Wenxin Jiang
Vishnu Banna
Naveen Vivek
Abhinav Goel
Nicholas Synovic
George K. Thiruvathukal
James C. Davis
VLM
260
29
0
13 Mar 2023
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to
  Model Zoo Reliability
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability
Diego Montes
Pongpatapee Peerapatanapokin
Jeff Schultz
Chengjun Guo
Wenxin Jiang
James C. Davis
152
14
0
05 Mar 2023
Reproducibility of Machine Learning: Terminology, Recommendations and
  Open Issues
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues
Riccardo Albertoni
Sara Colantonio
Piotr Skrzypczyñski
J. Stefanowski
189
13
0
24 Feb 2023
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
274
79
0
18 Oct 2021
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
768
17,365
0
25 Dec 2016
1
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