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

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

2 July 2021

Akhil Chinnakotla

Anirudh Vegesana

Kruthi Krishnappa

Yung-Hsiang Lu

George K. Thiruvathukal

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

5 / 5 papers shown

Title
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden Vishal Purohit Wenxin Jiang Akshath R. Ravikiran James C. Davis 34 1 0 29 Apr 2024
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis VLM 37 18 0 13 Mar 2023
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 16 14 0 05 Mar 2023
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues Riccardo Albertoni Sara Colantonio Piotr Skrzypczyñski J. Stefanowski 26 10 0 24 Feb 2023
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021