8 citations · 14 across the 20 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
Ruixuan Xiao, Yiwen Dong, Junbo Zhao +4
Collecting high-quality labeled data for model training is notoriously time-consuming and labor-intensive for various NLP tasks. While copious solutions, such as active learning fo…
cs.CV2023★ 8 cited
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Zhiqing Xiao, Haobo Wang, Ying Jin +4
Unsupervised domain adaptation (UDA) is a pivotal form in machine learning to extend the in-domain model to the distinctive target domains where the data distributions differ. Most…