104 citations · 192 across the 9 of their papers we have counts for
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cs.LG2020★ 104 cited
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao, Tongliang Liu, Bo Han +4
The transition matrix, denoting the transition relationship from clean labels to noisy labels, is essential to build statistically consistent classifiers in label-noise learning. E…
cs.CV2020★ 38 cited
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu +3
Video anomaly detection (VAD) has been extensively studied. However, research on egocentric traffic videos with dynamic scenes lacks large-scale benchmark datasets as well as effec…
cs.LG2020★ 6 cited
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
Yu Yao, Tongliang Liu, Bo Han +4
Given only positive (P) and unlabeled (U) data, PU learning can train a binary classifier without any negative data. It has two building blocks: PU class-prior estimation (CPE) and…