1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Xuan Feng, Tianlong Gu, Xiaoli Liu +1
Unnatural text correction aims to automatically detect and correct spelling errors or adversarial perturbation errors in sentences. Existing methods typically rely on fine-tuning o…
cs.LG2024
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
Yiqin Luo, Tianlong Gu
With the rapid advancement of deep learning technologies, artificial intelligence has become increasingly prevalent in the research and application of dermatological disease diagno…
cs.LG2024
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Wentao Yu, Shuo Chen, Yongxin Tong +2
Heterogeneity is a fundamental and challenging issue in federated learning, especially for the graph data due to the complex relationships among the graph nodes. To deal with the h…