Label-Noise Robust Domain Adaptation

Domain adaptation aims to correct the classifiers when faced with distribution shift between source (training) and target (test) domains. State-of-the-art domain adaptation methods make use of deep networks to extract domain-invariant representations. However, existing methods assume that all the in...

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Bibliografiske detaljer
Udgivet i:Proc Mach Learn Res
Main Authors: Yu, Xiyu, Liu, Tongliang, Gong, Mingming, Zhang, Kun, Batmanghelich, Kayhan, Tao, Dacheng
Format: Artigo
Sprog:Inglês
Udgivet: 2020
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8043624/
https://ncbi.nlm.nih.gov/pubmed/33855300
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