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A Convolutional Attention Network for Extreme Summarization of Source Code

9 February 2016

Hao Peng

Papers citing "A Convolutional Attention Network for Extreme Summarization of Source Code"

50 / 180 papers shown

Title
Multilingual training for Software Engineering Toufique Ahmed Prem Devanbu 305 87 0 03 Dec 2021
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization Ze Tang Chuanyi Li Jidong Ge Xiaoyu Shen Zhengding Zhu B. Luo 138 31 0 02 Dec 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source CodeInternational Conference on Machine Learning and Applications (ICMLA), 2021 Md Rafiqul Islam Rabin Mohammad Amin Alipour 156 5 0 01 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 218 71 0 18 Oct 2021
Learning to Describe Solutions for Bug Reports Based on Developer DiscussionsFindings (Findings), 2021 Sheena Panthaplackel Junjie Li Miloš Gligorić Raymond J. Mooney LMTD 133 10 0 08 Oct 2021
Does Pretraining for Summarization Require Knowledge Transfer?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Kundan Krishna Jeffrey P. Bigham Zachary Chase Lipton 192 41 0 10 Sep 2021
Retrieval Augmented Code Generation and SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Md. Rizwan Parvez W. Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 208 232 0 26 Aug 2021
Impact of Evaluation Methodologies on Code SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Pengyu Nie Jiyang Zhang Junyi Jessy Li Raymond J. Mooney Miloš Gligorić 196 20 0 22 Aug 2021
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 354 2,755 0 16 Aug 2021
XFL: Naming Functions in Binaries with Extreme Multi-label LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2021 James Patrick-Evans Moritz Dannehl Johannes Kinder 343 13 0 28 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 191 22 0 23 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 116 8 0 23 Jul 2021
On the Evaluation of Neural Code SummarizationInternational Conference on Software Engineering (ICSE), 2021 Ensheng Shi Yanlin Wang Lun Du Junjie Chen Shi Han Hongyu Zhang Dongmei Zhang Hongbin Sun ELM 313 108 0 15 Jul 2021
Cross-Lingual Transfer Learning for Statistical Type InferenceInternational Symposium on Software Testing and Analysis (ISSTA), 2021 Zhiming Li Xiaofei Xie Haoliang Li Yulong Shen Yi Li Yang Liu 213 3 0 01 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking ModelsIEEE International Conference on Software Maintenance and Evolution (ICSME), 2021 Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 88 16 0 26 Jun 2021
Memorization and Generalization in Neural Code Intelligence Models Md Rafiqul Islam Rabin Aftab Hussain Mohammad Amin Alipour Vincent J. Hellendoorn TDI 213 48 0 16 Jun 2021
Assessing the Effectiveness of Syntactic Structure to Learn Code Edit Representations Syed Arbaaz Qureshi Sonu Mehta Ranjita Bhagwan Rahul Kumar 131 3 0 11 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 209 69 0 07 Jun 2021
TreeBERT: A Tree-Based Pre-Trained Model for Programming LanguageConference on Uncertainty in Artificial Intelligence (UAI), 2021 Xue Jiang Zhuoran Zheng Chen Lyu Liang Li Lei Lyu 127 106 0 26 May 2021
Unsupervised Deep Keyphrase GenerationAAAI Conference on Artificial Intelligence (AAAI), 2021 Xianjie Shen Yinghan Wang Rui Meng Jingbo Shang 121 18 0 18 Apr 2021
Perfection Not Required? Human-AI Partnerships in Code TranslationInternational Conference on Intelligent User Interfaces (IUI), 2021 Justin D. Weisz Michael J. Muller Stephanie Houde John T. Richards Steven I. Ross Fernando Martinez Mayank Agarwal Kartik Talamadupula 183 152 0 08 Apr 2021
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter NotebooksConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Xuye Liu Dakuo Wang A. Wang Yufang Hou Lingfei Wu 198 24 0 31 Mar 2021
Attention, please! A survey of Neural Attention Models in Deep LearningArtificial Intelligence Review (AIR), 2021 Alana de Santana Correia Esther Luna Colombini HAI 292 248 0 31 Mar 2021
Learning to Generate Code Comments from Class Hierarchies Jiyang Zhang Sheena Panthaplackel Pengyu Nie Raymond J. Mooney Junjie Li Miloš Gligorić 123 8 0 24 Mar 2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning ApproachIEEE International Conference on Program Comprehension (ICPC), 2021 Rui Xie Wei Ye Jinan Sun Shikun Zhang 112 30 0 21 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and ContextInternational Conference on Learning Representations (ICLR), 2021 Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 149 129 0 21 Mar 2021
Attention-based model for predicting question relatedness on Stack OverflowIEEE Working Conference on Mining Software Repositories (MSR), 2021 Jiayan Pei Yimin Wu Zishan Qin Yao Cong Jingtao Guan 371 16 0 19 Mar 2021
API2Com: On the Improvement of Automatically Generated Code Comments Using API DocumentationsIEEE International Conference on Program Comprehension (ICPC), 2021 Ramin Shahbazi Rishab Sharma Fatemeh H. Fard 196 31 0 19 Mar 2021
Generating Adversarial Computer Programs using Optimized ObfuscationsInternational Conference on Learning Representations (ICLR), 2021 Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 178 55 0 18 Mar 2021
Unified Pre-training for Program Understanding and GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 379 851 0 10 Mar 2021
Mining Program Properties From Neural Networks Trained on Source Code Embeddings Martina Saletta C. Ferretti 57 1 0 09 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 191 17 0 24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesNeural Information Processing Systems (NeurIPS), 2021 Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 184 160 0 15 Feb 2021
Old but Gold: Reconsidering the value of feedforward learners for software analytics Rahul Yedida Xueqi Yang Tim Menzies AI4TS 104 4 0 15 Jan 2021
An Explainable CNN Approach for Medical Codes Prediction from Clinical TextBMC Medical Informatics and Decision Making (BMC Med Inform Decis Mak), 2021 Shuyuan Hu Fei Teng OOD FAtt 144 35 0 14 Jan 2021
Code Summarization with Structure-induced TransformerFindings (Findings), 2020 Hongqiu Wu Hai Zhao Min Zhang 188 95 0 29 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 223 71 0 08 Dec 2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 230 37 0 25 Nov 2020
ReAssert: Deep Learning for Assert Generation Robert White J. Krinke 99 17 0 19 Nov 2020
Neural Software AnalysisCommunications of the ACM (CACM), 2020 Michael Pradel S. Chandra NAI 183 36 0 16 Nov 2020
Pointing to Subwords for Generating Function Names in Source Code Shogo Fujita Hidetaka Kamigaito Hiroya Takamura Manabu Okumura 168 2 0 09 Nov 2020
Holistic Combination of Structural and Textual Code Information for Context based API Recommendation Chi Chen Xin Peng Zhenchang Xing Jun Sun Xin Wang Yifan Zhao Wenyun Zhao 106 37 0 15 Oct 2020
Extracting Implicitly Asserted Propositions in ArgumentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Yohan Jo J. Visser Chris Reed Eduard H. Hovy 78 8 0 06 Oct 2020
Code to Comment "Translation": Data, Metrics, Baselining & EvaluationInternational Conference on Automated Software Engineering (ASE), 2020 David Gros Hariharan Sezhiyan Prem Devanbu Zhou Yu 166 80 0 03 Oct 2020
STRATA: Simple, Gradient-Free Attacks for Models of Code Jacob Mitchell Springer Bryn Reinstadler Una-May O’Reilly AAML 134 11 0 28 Sep 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering ResearchACM Transactions on Software Engineering and Methodology (TOSEM), 2020 Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 186 137 0 14 Sep 2020
Towards Demystifying Dimensions of Source Code Embeddings Md Rafiqul Islam Rabin Arjun Mukherjee O. Gnawali Mohammad Amin Alipour 201 21 0 29 Aug 2020
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We? Simin Wang LiGuo Huang Jidong Ge Tengfei Zhang Haitao Feng Ming Li He Zhang Vincent Ng AI4CE 138 7 0 12 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program TransformationsInformation and Software Technology (IST), 2020 Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 287 101 0 31 Jul 2020
Contrastive Code Representation LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Paras Jain Ajay Jain Tianjun Zhang Pieter Abbeel Joseph E. Gonzalez Ion Stoica SSL DRL 291 167 0 09 Jul 2020