Deep Learning for Source Code Modeling and Generation: Models,
Applications and Challenges

Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

13 February 2020

Hao Chen

Muhammad Ali Babar

Papers citing "Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges"

14 / 14 papers shown

Title
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer Anmol Gautam Kishore Kumar Adarsh Jha Mukunda NS Ishaan Bhola 43 1 0 17 Sep 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study T. H. Le Xiaoning Du Muhammad Ali Babar 17 7 0 20 Jan 2024
ML-driven Hardware Cost Model for MLIR Dibyendu Das Sandya Mannarswamy 17 0 0 14 Feb 2023
Machine Learning for Software Engineering: A Tertiary Study Zoe Kotti R. Galanopoulou D. Spinellis 10 21 0 17 Nov 2022
Execution-based Evaluation for Data Science Code Generation Models Junjie Huang Chenglong Wang Jipeng Zhang Cong Yan Haotian Cui J. Inala Colin B. Clement Nan Duan Jianfeng Gao ELM 22 34 0 17 Nov 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 10 8 0 06 Oct 2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 26 2 0 05 Apr 2022
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data Chadni Islam Muhammad Ali Babar Roland Croft Helge Janicke 22 19 0 15 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 14 158 0 10 Mar 2022
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches Juan Cruz-Benito Sanjay Vishwakarma Francisco Martín-Fernández Ismael Faro Ibm Quantum 13 30 0 16 Sep 2020
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 40 79 0 05 Apr 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 205 1,202 0 12 Jun 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016