v1v2 (latest)

InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

International Conference on Software Engineering (ICSE), 2020

13 December 2020

Lingxiao Jiang

Papers citing "InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees"

24 / 24 papers shown

An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models

305

23 Sep 2024

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks

230

17 Jun 2024

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking

Xiangzhe Xu

Yapeng Ye

293

19 Feb 2024

FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing

168

02 Feb 2024

Deep Learning for Code Intelligence: Survey, Benchmark and ToolkitACM Computing Surveys (ACM Comput. Surv.), 2023

Philip S. Yu

306

30 Dec 2023

TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree TransformationIEEE Transactions on Software Engineering (TSE), 2023

Rubing Huang

276

10 Nov 2023

Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code

Jiexi Wu

324

25 Aug 2023

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challengesJournal of Systems and Software (JSS), 2023

Morteza Zakeri-Nasrabadi

295

28 Jun 2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs

Akhilesh Deepak Gotmare

Steven C. H. Hoi

348

31 May 2023

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation

357

09 May 2023

xASTNN: Improved Code Representations for Industrial Practice

338

13 Mar 2023

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code

Aftab Hussain

Md Rafiqul Islam Rabin

Bowen Xu

David Lo

Mohammad Amin Alipour

244

08 Mar 2023

Reliability Assurance for Deep Neural Network Architectures Against Numerical DefectsInternational Conference on Software Engineering (ICSE), 2023

376

13 Feb 2023

MIXCODE: Enhancing Code Classification by Mixup-Based Data AugmentationIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022

Yuejun Guo

356

06 Oct 2022

NeuDep: Neural Binary Memory Dependence Analysis

Scott Geng

300

04 Oct 2022

AutoPruner: Transformer-Based Call Graph Pruning

197

07 Sep 2022

A Library for Representing Python Programs as Graphs for Machine Learning

Vincent J. Hellendoorn

Daniel D. Johnson

Daniel Tarlow

GNN AI4CE

173

15 Aug 2022

Evaluation of Contrastive Learning with Various Code Representations for Code Clone DetectionSocial Science Research Network (SSRN), 2022

237

17 Jun 2022

A Neural Network Architecture for Program Understanding Inspired by Human BehaviorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022

200

10 May 2022

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

266

04 May 2022

Graph Neural Networks: Methods, Applications, and Opportunities

Lilapati Waikhom

Ripon Patgiri

GNN

371

24 Aug 2021

How could Neural Networks understand Programs?International Conference on Machine Learning (ICML), 2021

245

10 May 2021

Code Summarization with Structure-induced TransformerFindings (Findings), 2020

Hongqiu Wu

Hai Zhao

Min Zhang

301

29 Dec 2020

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving TransformationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

Nghi D. Q. Bui

Yijun Yu

Lingxiao Jiang

SSL

602

136

06 Sep 2020