Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 841* | 2021 |
Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 774 | 2020 |
Phase Diagram of Electrostatically Doped Y Lee, C Clement, J Hellerstedt, J Kinney, L Kinnischtzke, X Leng, ... Physical Review Letters 106 (13), 136809, 2011 | 152 | 2011 |
PyMT5: multi-mode translation of natural language and python code with transformers C Clement, D Drain, T Jonathan, A Svyatkovskiy, N Sundaresan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 144* | 2020 |
On the use of arxiv as a dataset CB Clement, M Bierbaum, KP O'Keeffe, AA Alemi arXiv preprint arXiv:1905.00075, 2019 | 89 | 2019 |
Image registration of low signal-to-noise cryo-STEM data BH Savitzky, I El Baggari, CB Clement, E Waite, BH Goodge, DJ Baek, ... Ultramicroscopy 191, 56-65, 2018 | 80 | 2018 |
Learning to reduce false positives in analytic bug detectors A Kharkar, RZ Moghaddam, M Jin, X Liu, X Shi, C Clement, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 33 | 2022 |
Training and Evaluating a Jupyter Notebook Data Science Assistant S Chandel, CB Clement, G Serrato, N Sundaresan arXiv preprint arXiv:2201.12901, 2022 | 30 | 2022 |
Normal Form for Renormalization Groups A Raju, CB Clement, LX Hayden, JP Kent-Dobias, DB Liarte, DZ Rocklin, ... Physical Review X, 0 | 30* | |
Deepdebug: Fixing python bugs using stack traces, backtranslation, and code skeletons D Drain, CB Clement, G Serrato, N Sundaresan arXiv preprint arXiv:2105.09352, 2021 | 25 | 2021 |
Visualizing probabilistic models and data with Intensive Principal Component Analysis KN Quinn, CB Clement, F De Bernardis, MD Niemack, JP Sethna Proceedings of the National Academy of Sciences 116 (28), 13762-13767, 2019 | 23 | 2019 |
Long-range modeling of source code files with ewash: Extended window access by syntax hierarchy C Clement, S Lu, X Liu, M Tufano, N Duan, Nan, Sundaresan, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 21* | 2021 |
Execution-based evaluation for data science code generation models J Huang, C Wang, J Zhang, C Yan, H Cui, JP Inala, C Clement, N Duan, ... arXiv preprint arXiv:2211.09374, 2022 | 17 | 2022 |
Automatic generation of code documentation CB Clement, J Drain, N Sundaresan, A Svyatkovskiy US Patent App. 16/897,813, 2021 | 16 | 2021 |
Visualizing probabilistic models in Minkowski space with intensive symmetrized Kullback-Leibler embedding HK Teoh, KN Quinn, J Kent-Dobias, CB Clement, Q Xu, JP Sethna Physical Review Research 2 (3), 033221, 2020 | 12 | 2020 |
On the use of ArXiv as a dataset (2019) CB Clement, M Bierbaum, KP O’Keeffe, AA Alemi arXiv preprint arXiv:1905.00075, 1905 | 9 | 1905 |
Neural method completion based on natural language and source code CB Clement, D Drain, N Sundaresan, A Svyatkovskiy US Patent 11,972,232, 2024 | 8 | 2024 |
Predicting code coverage without execution M Tufano, S Chandel, A Agarwal, N Sundaresan, C Clement arXiv preprint arXiv:2307.13383, 2023 | 8 | 2023 |
DeepDev-PERF: a deep learning-based approach for improving software performance S Garg, RZ Moghaddam, CB Clement, N Sundaresan, C Wu Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 7 | 2022 |
Transfer learning system for automated software engineering tasks CB Clement, D Drain, N Sundaresan, A Svyatkovskiy US Patent 11,521,075, 2022 | 6 | 2022 |