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
1073 * 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
976 2020 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
162 * 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 On the use of arxiv as a dataset CB Clement, M Bierbaum, KP O'Keeffe, AA Alemi
arXiv preprint arXiv:1905.00075, 2019
109 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
91 2018 Training and Evaluating a Jupyter Notebook Data Science Assistant S Chandel, CB Clement, G Serrato, N Sundaresan
arXiv preprint arXiv:2201.12901, 2022
51 2022 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
40 2022 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
32 2021 Normal Form for Renormalization Groups A Raju, CB Clement, LX Hayden, JP Kent-Dobias, DB Liarte, DZ Rocklin, ...
Physical Review X, 0
31 * 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
30 2022 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
28 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
23 * 2021 Automatic generation of code documentation CB Clement, J Drain, N Sundaresan, A Svyatkovskiy
US Patent App. 16/897,813, 2021
21 2021 Neural method completion based on natural language and source code CB Clement, D Drain, N Sundaresan, A Svyatkovskiy
US Patent 11,972,232, 2024
14 2024 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
14 2022 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
14 2020 Transfer learning system for automated software engineering tasks CB Clement, D Drain, N Sundaresan, A Svyatkovskiy
US Patent 11,521,075, 2022
13 2022 Predicting code coverage without execution M Tufano, S Chandel, A Agarwal, N Sundaresan, C Clement
arXiv preprint arXiv:2307.13383, 2023
12 2023 On the use of ArXiv as a dataset (2019) CB Clement, M Bierbaum, KP O’Keeffe, AA Alemi
arXiv preprint arXiv:1905.00075, 1905
8 1905 
Alexey SvyatkovskiyGoogle DeepMindBestätigte E-Mail-Adresse bei google.com