InferCode: Self-supervised learning of code representations by predicting subtrees
Learning code representations has found many uses in software engineering, such as code classification, code search, code comment generation, and bug prediction. Although representations of code in tokens, syntax trees, dependency graphs, paths in trees, or the combinations of their variants have be...
Saved in:
Main Authors: | BUI, Duy Quoc Nghi, YU, Yijun, JIANG, Lingxiao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6716 https://ink.library.smu.edu.sg/context/sis_research/article/7719/viewcontent/ICSE21InferCode_preprint.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Semi-supervised text classification using partitioned EM
by: Cong, G., et al.
Published: (2013) -
Big Code Search: A Bibliography
by: KIM, Kisub, et al.
Published: (2024) -
Opportunities and challenges in code search tools
by: LIU, Chao, et al.
Published: (2022) -
Ten years of hunting for similar code for fun and profit (keynote)
by: GLONDU, Stephane, et al.
Published: (2018) -
Dealing with different distributions in learning from positive and unlabeled web data
by: Li, X., et al.
Published: (2014)