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TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise

13 July 2020
Amirmasoud Ghiassi
Taraneh Younesian
Robert Birke
L. Chen
    NoLa
ArXiv (abs)PDFHTML

Papers citing "TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise"

1 / 1 papers shown
End-to-End Learning from Noisy Crowd to Supervised Machine Learning
  Models
End-to-End Learning from Noisy Crowd to Supervised Machine Learning ModelsInternational Conference on Cognitive Machine Intelligence (ICCMI), 2020
Taraneh Younesian
Chi Hong
Amirmasoud Ghiassi
Robert Birke
L. Chen
NoLaFedML
240
3
0
13 Nov 2020
1
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