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Colin B. Clement

Observed names: Clement, Colin, Clement, Colin B., Colin Clement
ORCID: 0000-0002-3727-7308
Observed ORCID: 0000-0002-3727-7308
OpenAlex ID: A5007389688
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
2021 · Lu, Shuai, Guo, Daya, et al. · arXiv (Cornell University) · 536
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GraphCodeBERT: Pre-training Code Representations with Data Flow
2020 · Guo, Daya, Ren, Shuo, et al. · arXiv (Cornell University) · 478
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PyMT5: multi-mode translation of natural language and Python code with transformers
2020 · Colin Clement, Dawn Drain, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 121
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Image registration of low signal-to-noise cryo-STEM data
2018 · Benjamin H. Savitzky, Ismail El Baggari, et al. · Ultramicroscopy · 110
On the Use of ArXiv as a Dataset
2019 · Clement, Colin B., Bierbaum, Matthew, et al. · arXiv (Cornell University) · 53
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Learning to reduce false positives in analytic bug detectors
2022 · Anant Kharkar, Roshanak Zilouchian Moghaddam, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 41
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Visualizing probabilistic models and data with Intensive Principal Component Analysis
2019 · Katherine N. Quinn, Colin B. Clement, et al. · Proceedings of the National Academy of Sciences · 38
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Normal Form for Renormalization Groups
2019 · Archishman Raju, Colin B. Clement, et al. · Physical Review X · 35
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DeepDev-PERF: a deep learning-based approach for improving software performance
2022 · Spandan Garg, Roshanak Zilouchian Moghaddam, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 24
Training and Evaluating a Jupyter Notebook Data Science Assistant
2022 · Chandel, Shubham, Clement, Colin B., et al. · arXiv (Cornell University) · 22
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DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
2021 · Drain, Dawn, Clement, Colin B., et al. · arXiv (Cornell University) · 16
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Exploring and evaluating personalized models for code generation
2022 · Andrei Zlotchevski, Dawn Drain, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 13
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
2021 · Colin Clement, Shuai Lu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 12
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Visualizing probabilistic models in Minkowski space with intensive symmetrized Kullback-Leibler embedding
2020 · Han Kheng Teoh, Katherine N. Quinn, et al. · Physical Review Research · 11
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Program Translation via Code Distillation
2023 · Yufan Huang, Mengnan Qi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8
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Predicting Code Coverage without Execution
2023 · Tufano, Michele, Chandel, Shubham, et al. · arXiv (Cornell University) · 7
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Inverse Melting of Polar Order in Chemically Substituted BaTiO 3
2025 · Yang Zhang, Suk Hyun Sung, et al. · Physical Review Letters · 4
Reconstruction of Current Densities from Magnetic Images by Bayesian Inference
2019 · Clement, Colin B., Sethna, James P., et al. · arXiv (Cornell University) · 4
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Image registration and super resolution from first principles
2018 · Clement, Colin B., Bierbaum, Matthew, et al. · arXiv (Cornell University) · 4
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Renormalization group and normal form theory
2017 · Archishman Raju, Colin B. Clement, et al. · arXiv (Cornell University) · 4
SUT: Active Defects Probing for Transcompiler Models
2023 · Mengnan Qi, Yufan Huang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
2021 · Clement, Colin B., Lu, Shuai, et al. · arXiv (Cornell University) · 2
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Generating Examples from CLI Usage: Can Transformers Help?
2022 · Roshanak Zilouchian Moghaddam, Spandan Garg, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
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DeepPERF: A Deep Learning-Based Approach For Improving Software Performance
2022 · Garg, Spandan, Moghaddam, Roshanak Zilouchian, et al. · arXiv (Cornell University) · 1
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Distilling Transformers for Neural Cross-Domain Search
2021 · Clement, Colin B., Wu, Chen, et al. · arXiv (Cornell University) · 1
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Works count: 42
Citation count: 1,550
H-index: 12
I10-index: 14
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