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Rohan Sethi
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2020 – today
- 2023
- [c4]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE 2023: 2463-2475 - [i2]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR abs/2303.02552 (2023) - 2022
- [c3]Chandralika Chakraborty, Rohan Sethi, Vidushi Chauhan, Bhairab Sarma, Udit Kumar Chakraborty:
Automatic Short Answer Grading Using Universal Sentence Encoder. ICL (1) 2022: 511-518 - [c2]Nicholas M. Synovic
, Matt Hyatt
, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang
, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer
, Nicholas J. Hayward, Neil Klingensmith, James C. Davis
, George K. Thiruvathukal
:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE 2022: 167:1-167:4 - [c1]Wenxin Jiang
, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
:
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS 2022: 105-114 - [i1]Nicholas Synovic, Matt Hyatt
, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR abs/2207.11767 (2022)
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