Rangeet Pan

Orcid: 0000-0002-8875-1225

According to our database1, Rangeet Pan authored at least 14 papers between 2019 and 2023.

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Bibliography

2023
Understanding the Effectiveness of Large Language Models in Code Translation.
CoRR, 2023

Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.
CoRR, 2022

Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Manas: Mining Software Repositories to Assist AutoML.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Manas: Mining Software Repositories to Assist AutoML.
CoRR, 2021

Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
On decomposing a deep neural network into modules.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Does fixing bug increase robustness in deep learning?
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Repairing deep neural networks: fix patterns and challenges.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow.
CoRR, 2019

Identifying Classes Susceptible to Adversarial Attacks.
CoRR, 2019

Static deep neural network analysis for robustness.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

A comprehensive study on deep learning bug characteristics.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019


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