Nicholas Synovic

According to our database, Nicholas Synovic authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 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

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2023

PeaTMOSS: Mining Pre-Trained Models in Open-Source Software.

Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis

CoRR, 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

CoRR, 2023

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.

Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Reusing Deep Learning Models: Challenges and Directions in Software Engineering.

James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal

Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.

Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.

Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis

Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics.

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

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022