A Survey of Deep Learning Models for Structural Code Understanding

3 May 2022

Papers citing "A Survey of Deep Learning Models for Structural Code Understanding"

50 / 92 papers shown

Title
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 91 82 0 04 Dec 2021
Can Machines Read Coding Manuals Yet? -- A Benchmark for Building Better Language Models for Code Understanding Ibrahim Abdelaziz Julian T Dolby Jamie McCusker Kavitha Srinivas ELM 66 5 0 15 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 299 1,592 0 02 Sep 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 71 218 0 24 Jul 2021
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors Junayed Mahmud Fahim Faisal Raihan Islam Arnob Antonios Anastasopoulos Kevin Moran 125 20 0 15 Jun 2021
Assessing the Effectiveness of Syntactic Structure to Learn Code Edit Representations Syed Arbaaz Qureshi Sonu Mehta Ranjita Bhagwan Rahul Kumar 45 3 0 11 Jun 2021
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning Binbin Xie Jinsong Su Yubin Ge Xiang-Yang Li Jianwei Cui Junfeng Yao Bin Wang 54 29 0 31 May 2021
CoDesc: A Large Code-Description Parallel Dataset Masum Hasan Tanveer Muttaqueen Abdullah Al Ishtiaq Kazi Sajeed Mehrab Md. Mahim Anjum Haque Tahmid Hasan Wasi Uddin Ahmad Anindya Iqbal Rifat Shahriyar 63 32 0 29 May 2021
CoSQA: 20,000+ Web Queries for Code Search and Question Answering Junjie Huang Duyu Tang Linjun Shou Ming Gong Ke Xu Daxin Jiang Ming Zhou Nan Duan 77 118 0 27 May 2021
Self-Supervised Bug Detection and Repair Miltiadis Allamanis Henry Jackson-Flux Marc Brockschmidt 122 107 0 26 May 2021
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language Xue Jiang Zhuoran Zheng Chen Lyu Liang Li Lei Lyu 81 91 0 26 May 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchi Puri David S. Kung G. Janssen Wei Zhang Giacomo Domeniconi ... Saurabh Pujar Shyam Ramji Ulrich Finkler Susan Malaika Frederick Reiss 97 244 0 25 May 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 63 65 0 10 May 2021
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks Xuye Liu Dakuo Wang A. Wang Yufang Hou Lingfei Wu 62 22 0 31 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 64 121 0 21 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 81 86 0 17 Mar 2021
Neural Code Summarization Piyush Shrivastava 56 2 0 26 Feb 2021
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 44 65 0 08 Dec 2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis Shuo Ren Daya Guo Shuai Lu Long Zhou Shujie Liu Duyu Tang Neel Sundaresan M. Zhou Ambrosio Blanco Shuai Ma ELM 128 543 0 22 Sep 2020
Towards Full-line Code Completion with Neural Language Models Wenhan Wang Sijie Shen Ge Li Zhi Jin 48 16 0 18 Sep 2020
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 167 1,152 0 17 Sep 2020
CoNCRA: A Convolutional Neural Network Code Retrieval Approach Marcelo de Rezende Martins M. Gerosa 48 11 0 03 Sep 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu Yu Chen Xiaofei Xie J. Siow Yang Liu 87 166 0 09 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing Zihang Dai Guokun Lai Yiming Yang Quoc V. Le 98 236 0 05 Jun 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 125 176 0 20 May 2020
Learning Semantic Program Embeddings with Graph Interval Neural Network Yu Wang Fengjuan Gao Linzhang Wang Ke Wang GNN 105 63 0 18 May 2020
A Transformer-based Approach for Source Code Summarization Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang ViT 102 390 0 01 May 2020
Code Completion using Neural Attention and Byte Pair Encoding Youri Arkesteijn Nikhil Saldanha Bastijn Kostense 30 4 0 14 Apr 2020
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation Rhys Compton E. Frank Panos Patros Abigail M. Y. Koay 60 63 0 06 Apr 2020
Improved Code Summarization via a Graph Neural Network Alexander LeClair S. Haque Lingfei Wu Collin McMillan 57 286 0 06 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 113 220 0 30 Mar 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 181 2,672 0 19 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 130 155 0 13 Feb 2020
Pythia: AI-assisted Code Completion System Alexey Svyatkovskiy Ying Zhao Shengyu Fu Neel Sundaresan 71 154 0 29 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,146 0 13 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 117 65 0 04 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 515 20,376 0 23 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search Hamel Husain Hongqiu Wu Tiferet Gazit Miltiadis Allamanis Marc Brockschmidt ELM 130 1,086 0 20 Sep 2019
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning Fang Liu Ge Li Bolin Wei Xin Xia Zhiyi Fu Zhi Jin 63 74 0 16 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 80 780 0 08 Sep 2019
BULNER: BUg Localization with word embeddings and NEtwork Regularization J. Barbosa R. Marcacini Ricardo Britto Frederico Soares S. O. Rezende A. Vincenzi M. Delamaro 26 2 0 26 Aug 2019
Automatic Source Code Summarization with Extended Tree-LSTM Yusuke Shido Yasuaki Kobayashi Akihiro Yamamoto A. Miyamoto Tadayuki Matsumura 59 88 0 19 Jun 2019
Learning Scalable and Precise Representation of Program Semantics Ke Wang NAI 61 28 0 13 May 2019
When Deep Learning Met Code Search J. Cambronero Hongyu Li Seohyun Kim Koushik Sen S. Chandra CLIP 114 220 0 09 May 2019
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 108 83 0 05 Apr 2019
Recommendations for Datasets for Source Code Summarization Alexander LeClair Collin McMillan 56 119 0 04 Apr 2019
Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic Aditya Kanade Petros Maniatis David Bieber Rishabh Singh 64 132 0 03 Apr 2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling Yasir Hussain Zhiqiu Huang Yu Zhou Senzhang Wang 73 32 0 03 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 810 8,597 0 03 Jan 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Zimin Chen Steve Kommrusch Michele Tufano L. Pouchet Denys Poshyvanyk Monperrus Martin KELM 80 445 0 24 Dec 2018