code2vec: Learning Distributed Representations of Code

26 March 2018

Papers citing "code2vec: Learning Distributed Representations of Code"

50 / 142 papers shown

Title
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training Xin Wang Yasheng Wang Yao Wan Jiawei Wang Pingyi Zhou Li Li Hao Wu Jin Liu 34 33 0 04 May 2022
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 24 18 0 21 Apr 2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma Mike Papadakis Yves Le Traon MQ 46 1 0 08 Apr 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Mike Papadakis Yves Le Traon 23 5 0 08 Apr 2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 55 2 0 05 Apr 2022
RL4ReAl: Reinforcement Learning for Register Allocation S. VenkataKeerthy Siddhartha Jain Anilava Kundu Rohit Aggarwal Albert Cohen Ramakrishna Upadrasta OffRL 41 5 0 05 Apr 2022
GPT-based Open-Ended Knowledge Tracing Naiming Liu Zichao Wang Richard G. Baraniuk Andrew Lan AI4Ed 32 3 0 21 Feb 2022
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code Yao Wan Wei Zhao Hongyu Zhang Yulei Sui Guandong Xu Hairong Jin 35 107 0 14 Feb 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation Zhen Li Guenevere Chen Chen Chen Chen Yayi Zou Shouhuai Xu AAML AI4TS 24 44 0 12 Feb 2022
Featherweight Assisted Vulnerability Discovery D. Binkley Leon Moonen Sibren Isaacman AAML 18 0 0 06 Feb 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 27 0 0 28 Jan 2022
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python Laura Wartschinski Yannic Noller Thomas Vogel Timo Kehrer L. Grunske 14 82 0 20 Jan 2022
Cross-Language Binary-Source Code Matching with Intermediate Representations Yi Gui Yao Wan Hongyu Zhang Huifang Huang Yulei Sui Guandong Xu Zhiyuan Shao Hai Jin 27 31 0 19 Jan 2022
Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach H. Naeem Manar H. Alalfi 34 1 0 07 Jan 2022
Multilingual training for Software Engineering Toufique Ahmed Prem Devanbu 70 74 0 03 Dec 2021
xFuzz: Machine Learning Guided Cross-Contract Fuzzing Yinxing Xue Jiaming Ye Wei Zhang Jun Sun Lei Ma Haijun Wang Jianjun Zhao 15 41 0 24 Nov 2021
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks Zhehao Zhao Bo Yang Ge Li Huai Liu Zhi Jin 18 21 0 20 Nov 2021
Counterfactual Explanations for Models of Code Jürgen Cito Işıl Dillig V. Murali S. Chandra AAML LRM 32 48 0 10 Nov 2021
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine Fran Silavong Sean J. Moran Antonios Georgiadis Rohan Saphal R. Otter 20 9 0 05 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow Lei Ma Guozhu Meng Yang Liu GNN 25 53 0 04 Nov 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 Nov 2021
Text Classification for Task-based Source Code Related Questions Sairamvinay Vijayaraghavan Jinxiao Song David A. Tomassi Siddhartha Punj Jailan Sabet 27 0 0 31 Oct 2021
Neural Program Generation Modulo Static Analysis Rohan Mukherjee Yeming Wen Dipak Chaudhari Thomas W. Reps Swarat Chaudhuri C. Jermaine 32 24 0 26 Oct 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 25 61 0 18 Oct 2021
An Expert System for Redesigning Software for Cloud Applications Rahul Yedida R. Krishna A. Kalia Tim Menzies Jin Xiao M. Vukovic 16 4 0 29 Sep 2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation Yufan Zhuang Sahil Suneja Veronika Thost Giacomo Domeniconi Alessandro Morari Jim Laredo GNN 27 15 0 07 Sep 2021
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 32 88 0 25 Aug 2021
CGEMs: A Metric Model for Automatic Code Generation using GPT-3 Aishwarya Narasimhan Krishna Prasad Agara Venkatesha Rao Veena M B B M S College of Engineering 29 18 0 23 Aug 2021
Impact of Evaluation Methodologies on Code Summarization Pengyu Nie Jiyang Zhang Junyi Jessy Li Raymond J. Mooney Miloš Gligorić 24 20 0 22 Aug 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning T. H. Le David Hin Roland Croft Muhammad Ali Babar 30 51 0 18 Aug 2021
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 29 59 0 15 Aug 2021
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation Xin Wang Yasheng Wang Fei Mi Pingyi Zhou Yao Wan Xiao Liu Li Li Hao Wu Jin Liu Xin Jiang 39 114 0 10 Aug 2021
Predicting Patch Correctness Based on the Similarity of Failing Test Cases Haoye Tian Yinghua Li Weiguo Pian Abdoul Kader Kaboré Kui Liu Andrew Habib Jacques Klein Tegawende F. Bissyande 39 30 0 28 Jul 2021
Multimodal Representation for Neural Code Search Jian Gu Zimin Chen Monperrus Martin 21 43 0 02 Jul 2021
Cross-Lingual Transfer Learning for Statistical Type Inference Zhiming Li Xiaofei Xie Haoliang Li Zhengzi Xu Yi Li Yang Liu 23 2 0 01 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 32 14 0 26 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 59 0 07 Jun 2021
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations Jaehoon Koo Prasanna Balaprakash Michael Kruse Xingfu Wu P. Hovland Mary W. Hall 31 7 0 10 May 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 23 62 0 10 May 2021
Toward Code Generation: A Survey and Lessons from Semantic Parsing Celine Lee Justin Emile Gottschlich Dan Roth Intel Labs 3DV 33 15 0 26 Apr 2021
Literature review on vulnerability detection using NLP technology Jiajie Wu 39 14 0 23 Apr 2021
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search? Abdullah Al Ishtiaq Masum Hasan Md. Mahim Anjum Haque Kazi Sajeed Mehrab Tanveer Muttaqueen Tahmid Hasan Anindya Iqbal Rifat Shahriyar 14 5 0 16 Apr 2021
ast2vec: Utilizing Recursive Neural Encodings of Python Programs Benjamin Paassen Jessica McBroom Bryn Jeffries I. Koprinska K. Yacef 21 9 0 22 Mar 2021
Project-Level Encoding for Neural Source Code Summarization of Subroutines Aakash Bansal S. Haque Collin McMillan 14 48 0 22 Mar 2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach Rui Xie Wei Ye Jinan Sun Shikun Zhang 28 26 0 21 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 10 85 0 17 Mar 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 41 754 0 10 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 21 13 0 24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 52 138 0 15 Feb 2021
MLGO: a Machine Learning Guided Compiler Optimizations Framework Mircea Trofin Yundi Qian E. Brevdo Zinan Lin K. Choromanski Didong Li 44 62 0 13 Jan 2021