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Arav Tewari
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2020 – today
- 2024
- [c2]Purvish Jajal
, Wenxin Jiang
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA 2024: 1466-1478 - [i3]Dharun Anandayuvaraj, Matthew Campbell, Arav Tewari, James C. Davis:
Can Large Language Models Analyze Software Failures in the News? An End-to-End Automated Pipeline with FAIL. CoRR abs/2406.08221 (2024) - 2023
- [c1]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR 2023: 57-61 - [i2]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR abs/2303.08934 (2023) - [i1]Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR abs/2303.17708 (2023)
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last updated on 2024-10-04 20:03 CEST by the dblp team
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