Colin B. Clement

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 25

Top Topics

Code Generation

Machine Learning

Top Venues

ESEC/SIGSOFT FSE

Publications

Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
Program Translation via Code Distillation. CoRR (2023)
Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
Program Translation via Code Distillation. EMNLP (2023)
Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement
Predicting Code Coverage without Execution. CoRR (2023)
Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan
SUT: Active Defects Probing for Transcompiler Models. CoRR (2023)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and Evaluating Personalized Models for Code Generation. CoRR (2022)
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance. CoRR (2022)
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan
Learning to Reduce False Positives in Analytic Bug Detectors. CoRR (2022)
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan
Generating Examples From CLI Usage: Can Transformers Help? CoRR (2022)
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano
Exploring and evaluating personalized models for code generation. ESEC/SIGSOFT FSE (2022)
Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan
Training and Evaluating a Jupyter Notebook Data Science Assistant. CoRR (2022)
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu
DeepDev-PERF: a deep learning-based approach for improving software performance. ESEC/SIGSOFT FSE (2022)
Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao
Execution-based Evaluation for Data Science Code Generation Models. CoRR (2022)
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan
Learning to Reduce False Positives in Analytic Bug Detectors. ICSE (2022)
Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan
Generating Examples from CLI Usage: Can Transformers Help? KDD (2022)
Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons. CoRR (2021)
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR (2021)
Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan
Distilling Transformers for Neural Cross-Domain Search. CoRR (2021)
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks (2021)
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR (2021)
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR (2021)
Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) (2021)
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR (2020)
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
PyMT5: multi-mode translation of natural language and Python code with transformers. EMNLP (1) (2020)
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
PyMT5: multi-mode translation of natural language and Python code with transformers. CoRR (2020)
Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe, Alexander A. Alemi
On the Use of ArXiv as a Dataset. CoRR (2019)