Purvish Jajal

According to our database, Purvish Jajal authored at least 4 papers in 2023.

Collaborative distances:

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

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

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

Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, 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