Colin B. Clement
Colin B. Clement
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Cited by
Cited by
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
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
Phase Diagram of Electrostatically Doped
Y Lee, C Clement, J Hellerstedt, J Kinney, L Kinnischtzke, X Leng, ...
Physical Review Letters 106 (13), 136809, 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
On the use of arxiv as a dataset
CB Clement, M Bierbaum, KP O'Keeffe, AA Alemi
arXiv preprint arXiv:1905.00075, 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
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
Normal Form for Renormalization Groups
A Raju, CB Clement, LX Hayden, JP Kent-Dobias, DB Liarte, DZ Rocklin, ...
Physical Review X, 0
Training and Evaluating a Jupyter Notebook Data Science Assistant
S Chandel, CB Clement, G Serrato, N Sundaresan
arXiv preprint arXiv:2201.12901, 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
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
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
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
Automatic generation of code documentation
CB Clement, J Drain, N Sundaresan, A Svyatkovskiy
US Patent App. 16/897,813, 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
On the use of ArXiv as a dataset (2019)
CB Clement, M Bierbaum, KP O’Keeffe, AA Alemi
arXiv preprint arXiv:1905.00075, 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
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
Transfer learning system for automated software engineering tasks
CB Clement, D Drain, N Sundaresan, A Svyatkovskiy
US Patent 11,521,075, 2022
Predicting code coverage without execution
M Tufano, S Chandel, A Agarwal, N Sundaresan, C Clement
arXiv preprint arXiv:2307.13383, 2023
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