Evaluating Few-Shot and Contrastive Learning Methods for Code Clone Detection

被引：0
|
作者：
Khajezade, Mohamad
Fard, Fatemeh Hendijani
Shehata, Mohamed S.
机构：
来源：
arXiv | 2022年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cloning - Deep learning - Java programming language - Learning algorithms - Learning systems - Ruby
引用
收藏
相关论文
共 50 条
  • [41] A Proposal-Improved Few-Shot Embedding Model with Contrastive Learning
    Gong, Fucai
    Xie, Yuchen
    Jiang, Le
    Chen, Keming
    Liu, Yunxin
    Ye, Xiaozhou
    Ouyang, Ye
    MULTIMEDIA MODELING, MMM 2023, PT II, 2023, 13834 : 202 - 214
  • [42] CONTAINER: Few-Shot Named Entity Recognition via Contrastive Learning
    Das, Sarkar Snigdha Sarathi
    Katiyar, Arzoo
    Passonneau, Rebecca J.
    Zhang, Rui
    PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 6338 - 6353
  • [43] Mixed contrastive transfer learning for few-shot workload prediction in the cloud
    Zuo, Ziran
    Huang, Yifa
    Li, Zenghui
    Jiang, Ying
    Liu, Chunhong
    COMPUTING, 2025, 107 (01)
  • [44] Domain consensual contrastive learning for few-shot universal domain adaptation
    Liao, Haojin
    Wang, Qiang
    Zhao, Sicheng
    Xing, Tengfei
    Hu, Runbo
    APPLIED INTELLIGENCE, 2023, 53 (22) : 27191 - 27206
  • [45] Domain consensual contrastive learning for few-shot universal domain adaptation
    Haojin Liao
    Qiang Wang
    Sicheng Zhao
    Tengfei Xing
    Runbo Hu
    Applied Intelligence, 2023, 53 : 27191 - 27206
  • [46] CPCL: Conceptual prototypical contrastive learning for Few-Shot text classification
    Cheng, Tao
    Cheng, Hua
    Fang, Yiquan
    Liu, Yufei
    Gao, Caiting
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (06) : 11963 - 11975
  • [47] Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning
    Choi, Won June
    Hwangbo, Jin
    Duong, Quan Anh
    Lee, Jae-Hyeok
    Gahm, Jin Kyu
    NEUROIMAGE, 2024, 304
  • [48] Contrastive Decoder Generator for Few-Shot Learning in Product Quality Prediction
    Zhang, Donghao
    Liu, Zhenyu
    Jia, Weiqiang
    Liu, Hui
    Tan, Jianrong
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (12) : 11367 - 11379
  • [49] Few-shot disease recognition algorithm based on supervised contrastive learning
    Mu, Jiawei
    Feng, Quan
    Yang, Junqi
    Zhang, Jianhua
    Yang, Sen
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [50] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
    Sun, Bo
    Li, Banghuai
    Cai, Shengcai
    Yuan, Ye
    Zhang, Chi
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 7348 - 7358
12345