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2020 – today
- 2024
[c5]Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu:
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. ASPDAC 2024: 890-895- [c4]Cheng-Yun Yang
, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, Dave (Jing) Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu:
Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. ISLPED 2024: 1-6 - [c3]Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA 2024: 1466-1478 - [i6]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR abs/2404.16688 (2024) - [i5]Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu:
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. CoRR abs/2407.05941 (2024) - [i4]Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu:
Token Turing Machines are Efficient Vision Models. CoRR abs/2409.07613 (2024) - 2023
- [c2]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA 2023: 17-30 - [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 - [i3]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) - [i2]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) - [i1]Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu:
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR abs/2310.07782 (2023)
Coauthor Index
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