8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Latent Class-Conditional Noise Model
Jiangchao Yao, Bo Han, Zhihan Zhou +2
Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achie…
cs.LG2023★ 8 cited
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong, Jiangchao Yao, Zhihan Zhou +2
Real-world data usually couples the label ambiguity and heavy imbalance, challenging the algorithmic robustness of partial label learning (PLL) and long-tailed learning (LT). The s…
cs.CV2022★ 1 cited
Contrastive Learning with Boosted Memorization
Zhihan Zhou, Jiangchao Yao, Yanfeng Wang +2
Self-supervised learning has achieved a great success in the representation learning of visual and textual data. However, the current methods are mainly validated on the well-curat…