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Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels
The label noise transition matrix T, reflecting the probabilities that t...
12/02/2020 ∙ by Xiaobo Xia, et al. ∙
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Parts-dependent Label Noise: Towards Instance-dependent Label Noise
Learning with the instance-dependent label noise is challenging, because...
06/14/2020 ∙ by Xiaobo Xia, et al. ∙
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Class2Simi: A New Perspective on Learning with Label Noise
Label noise is ubiquitous in the era of big data. Deep learning algorith...
06/14/2020 ∙ by Songhua Wu, et al. ∙
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Multi-Class Classification from Noisy-Similarity-Labeled Data
A similarity label indicates whether two instances belong to the same cl...
02/16/2020 ∙ by Songhua Wu, et al. ∙
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Are Anchor Points Really Indispensable in Label-Noise Learning?
In label-noise learning, noise transition matrix, denoting the probabili...
06/01/2019 ∙ by Xiaobo Xia, et al. ∙
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