24 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 24 cited
Robust Long-Tailed Learning under Label Noise
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu +1
Long-tailed learning has attracted much attention recently, with the goal of improving generalisation for tail classes. Most existing works use supervised learning without consider…
cs.LG2021★ 3 cited
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu, Tong Wei, Jianwen Jiang +3
The existence of noisy data is prevalent in both the training and testing phases of machine learning systems, which inevitably leads to the degradation of model performance. There…
cs.LG2020★ 4 cited
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei, Feng Shi, Hai Wang +1
Learning from positive and unlabeled data (PU learning) is prevalent in practical applications where only a couple of examples are positively labeled. Previous PU learning studies…