3 citations · 4 across the 3 of their papers we have counts for
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cs.LG2022
Boosting Active Learning via Improving Test Performance
Tianyang Wang, Xingjian Li, Pengkun Yang +5
Central to active learning (AL) is what data should be selected for annotation. Existing works attempt to select highly uncertain or informative data for annotation. Nevertheless,…
cs.LG2021★ 3 cited
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
Xingjian Li, Haoyi Xiong, Chengzhong Xu +1
To improve the performance of deep learning, mixup has been proposed to force the neural networks favoring simple linear behaviors in-between training samples. Performing mixup for…