ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.03003
  4. Cited By
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation

MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation

6 October 2022
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
ArXivPDFHTML

Papers citing "MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation"

9 / 9 papers shown
Title
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection
Max Hort
Linas Vidziunas
Leon Moonen
54
0
0
30 Mar 2025
A Survey on Adversarial Machine Learning for Code Data: Realistic
  Threats, Countermeasures, and Interpretations
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
Yulong Yang
Haoran Fan
Chenhao Lin
Qian Li
Zhengyu Zhao
Chao Shen
Xiaohong Guan
AAML
48
0
0
12 Nov 2024
Data Quality Issues in Vulnerability Detection Datasets
Data Quality Issues in Vulnerability Detection Datasets
Yuejun Guo
Seifeddine Bettaieb
AAML
30
4
0
08 Oct 2024
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for
  Language Processing
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
Zeming Dong
Qiang Hu
Zhenya Zhang
Yuejun Guo
Maxime Cordy
Mike Papadakis
Yves Le Traon
Jianjun Zhao
29
3
0
06 Oct 2022
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
208
624
0
20 May 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
1,105
0
09 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
197
176
0
05 Feb 2021
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
61
152
0
13 Feb 2020
sk_p: a neural program corrector for MOOCs
sk_p: a neural program corrector for MOOCs
Yewen Pu
Karthik Narasimhan
Armando Solar-Lezama
Regina Barzilay
34
120
0
11 Jul 2016
1