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

5 March 2023

Pongpatapee Peerapatanapokin

Papers citing "Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability"

7 / 7 papers shown

Title
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 28 5 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 37 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 38 11 0 01 Feb 2024
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
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 40 18 0 13 Mar 2023
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 644 0 21 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017