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

30 March 2023

Erik Kocinare

Anusha Sarraf

Yung-Hsiang Lu

George K. Thiruvathukal

Papers citing "Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem"

6 / 6 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 27 1 0 29 Apr 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter Dongdong Ren Wenbin Li Tianyu Ding Lei Wang Qi Fan Jing Huo Hongbing Pan Yang Gao 27 3 0 10 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 21 18 0 13 Mar 2023
An Empirical Study of Challenges in Converting Deep Learning Models Moses Openja Amin Nikanjam Ahmed Haj Yahmed Foutse Khomh Zhen Ming Zhengyong Jiang AAML 24 19 0 28 Jun 2022
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 239 626 0 21 Apr 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 57 96 0 11 Jan 2021