Overview of Deep Learning-Based Code Representation and Its Applications
The analysis and inference of program play an important role in software development, maintenance and migration. How to efficiently obtain high quality information from program code has become a hot research topic. In recent years, a large number of researchers have introduced the deep learning-base...
מחבר ראשי: | ZHANG Xiangping, LIU Jianxun |
---|---|
פורמט: | Article |
שפה: | zho |
יצא לאור: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-09-01
|
סדרה: | Jisuanji kexue yu tansuo |
נושאים: | |
גישה מקוונת: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2110073.pdf |
פריטים דומים
-
Code Readability Assessment Method Based on Multidimensional Features and Hybrid Neural Networks
מאת: MI Qing, GUO Li-min, CHEN Jun-cheng
יצא לאור: (2021-12-01) -
Learning Sentence-Level Representations with Predictive Coding
מאת: Vladimir Araujo, et al.
יצא לאור: (2023-01-01) -
Code Aggregate Graph: Effective Representation for Graph Neural Networks to Detect Vulnerable Code
מאת: Hoang Viet Nguyen, et al.
יצא לאור: (2022-01-01) -
Enhanced representation learning with temporal coding in sparsely spiking neural networks
מאת: Adrien Fois, et al.
יצא לאור: (2023-11-01) -
Discrete Infomax Codes for Supervised Representation Learning
מאת: Yoonho Lee, et al.
יצא לאור: (2022-04-01)