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2020 – today
- 2024
[c10]Rangeet Pan
, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE 2024: 82:1-82:13- [i11]Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha:
Multi-language Unit Test Generation using LLMs. CoRR abs/2409.03093 (2024) - 2023
- [c9]Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. ICSE 2023: 1020-1032 - [i10]Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Understanding the Effectiveness of Large Language Models in Code Translation. CoRR abs/2308.03109 (2023) - 2022
- [c8]Rangeet Pan, Hridesh Rajan:
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. ICSE 2022: 524-535 - [c7]Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan:
Manas: Mining Software Repositories to Assist AutoML. ICSE 2022: 1368-1380 - [i9]Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan:
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR abs/2212.00105 (2022) - [i8]Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. CoRR abs/2212.05970 (2022) - 2021
- [c6]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. ICSE 2021: 785-796 - [i7]Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman:
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. CoRR abs/2103.02004 (2021) - [i6]Rangeet Pan, Hridesh Rajan:
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. CoRR abs/2110.07720 (2021) - [i5]Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan:
Manas: Mining Software Repositories to Assist AutoML. CoRR abs/2112.03395 (2021) - 2020
- [c5]Rangeet Pan:
Does fixing bug increase robustness in deep learning? ICSE (Companion Volume) 2020: 146-148 - [c4]Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan:
Repairing deep neural networks: fix patterns and challenges. ICSE 2020: 1135-1146 - [c3]Rangeet Pan, Hridesh Rajan:
On decomposing a deep neural network into modules. ESEC/SIGSOFT FSE 2020: 889-900 - [i4]Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan:
Repairing Deep Neural Networks: Fix Patterns and Challenges. CoRR abs/2005.00972 (2020)
2010 – 2019
- 2019
- [c2]Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan:
A comprehensive study on deep learning bug characteristics. ESEC/SIGSOFT FSE 2019: 510-520 - [c1]Rangeet Pan:
Static deep neural network analysis for robustness. ESEC/SIGSOFT FSE 2019: 1238-1240 - [i3]Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan:
Identifying Classes Susceptible to Adversarial Attacks. CoRR abs/1905.13284 (2019) - [i2]Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan:
A Comprehensive Study on Deep Learning Bug Characteristics. CoRR abs/1906.01388 (2019) - [i1]Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan:
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow. CoRR abs/1906.11940 (2019)
Coauthor Index
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