Follow
Rangeet Pan
Rangeet Pan
Research Staff Member, IBM Research, Yorktown Heights
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
A Comprehensive Study on Deep Learning Bug Characteristics
MJ Islam, G Nguyen, R Pan, H Rajan
ESEC/FSE'19: The ACM Joint European Software Engineering Conference and …, 2019
1542019
Repairing Deep Neural Networks: Fix Patterns and Challenges
MJ Islam, R Pan, G Nguyen, H Rajan
2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020
74*2020
What do developers ask about ml libraries? a large-scale study using stack overflow
MJ Islam, HA Nguyen, R Pan, H Rajan
arXiv preprint arXiv:1906.11940, 2019
222019
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
R Pan, V Le, N Nagappan, S Gulwani, S Lahiri, M Kaufman
2021 IEEE/ACM 43nd International Conference on Software Engineering (ICSE), 2021
132021
On Decomposing a Deep Neural Network into Modules
R Pan, H Rajan
Proceedings of the 2020 28th ACM Joint Meeting on European Software …, 2020
102020
Identifying classes susceptible to adversarial attacks
R Pan, MJ Islam, S Ahmed, H Rajan
arXiv preprint arXiv:1905.13284, 2019
72019
Manas: Mining Software Repositories to Assist AutoML
G Nguyen, J Islam, R Pan, H Rajan
2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022
62022
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules
R Pan, H Rajan
2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022
62022
Static deep neural network analysis for robustness
R Pan
Proceedings of the 2019 27th ACM Joint meeting on european software …, 2019
42019
Does fixing bug increase robustness in deep learning?
R Pan
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
22020
A benchmark for bugs and fix patterns for deep neural networks
MJ Islam, R Pan, G Nguyen, H Rajan
22020
Decomposing deep learning models into modules
R Pan
Iowa State University, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–12