您当前的位置:
首页 >
文章列表页 >
An Instance Weighting Method Based on Meta-Learning for Cross-Domain Deep Text Matching
Artificial Intelligence | 更新时间:2025-11-25
    • An Instance Weighting Method Based on Meta-Learning for Cross-Domain Deep Text Matching

    • “In the field of low resource deep text matching, researchers have proposed a cross domain matching method based on meta learning instance weighting, which effectively improves model performance.”
    • Software Guide   Vol. 24, Issue 10, Pages: 65-72(2025)
    • DOI:10.11907/rjdk.241782    

      CLC: TP391
    • Received:11 September 2024,

      Published:15 October 2025

    移动端阅览

  • LI Boxin,HUANG Qi,LU Xiao,et al.An Instance Weighting Method Based on Meta-Learning for Cross-Domain Deep Text Matching[J].Software Guide,2025,24(10):65-72. DOI: 10.11907/rjdk.241782.

  •  
  •  

0

Views

2

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Self-Supervised Anomaly Detection in Industrial Images Based on Feature Improvement
Review of Bearing Fault Diagnosis Methods under Complex Working Conditions
Review of Research on Artificial Intelligence in the Field of Heart Sound Signal Detection
Application of Semi-supervised Meta-learning on the Emotion Recognition of Patients with Disorder of Consciousness
A Review of Specific Emitter Identification Based on Domain Adaptation

Related Author

XU Changyuan
JIA Ke
JIN Zhicheng
LI Hanxin
WANG Wenrun
ZHOU Ji
MA Xinna
ZHANG Ce

Related Institution

School of Computer Science, Chengdu University of Information Technology
Shijiazhuang Key Laboratory of Artificial Intelligence,Shijiazhuang Railway University
Hebei Key Laboratory of Electromagnetic Environmental Effects and Information Processing,Shijiazhuang Railway University
School of Information Science and Technology, Shijiazhuang Railway University
Department of Cardiology,Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine
0