3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Group Benefits Instances Selection for Data Purification
Zhenhuang Cai, Chuanyi Zhang, Dan Huang +3
Manually annotating datasets for training deep models is very labor-intensive and time-consuming. To overcome such inferiority, directly leveraging web images to conduct training d…
cs.LG2023★ 3 cited
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai +3
There has been significant attention devoted to the effectiveness of various domains, such as semi-supervised learning, contrastive learning, and meta-learning, in enhancing the pe…