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Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for
  Severe Label Noise

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise

13 August 2023
Fahimeh Fooladgar
Minh Nguyen Nhat To
P. Mousavi
Purang Abolmaesumi
    NoLa
ArXivPDFHTML

Papers citing "Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise"

4 / 4 papers shown
Title
An Embedding is Worth a Thousand Noisy Labels
An Embedding is Worth a Thousand Noisy Labels
Francesco Di Salvo
Sebastian Doerrich
Ines Rieger
Christian Ledig
NoLa
65
0
0
26 Aug 2024
An accurate detection is not all you need to combat label noise in
  web-noisy datasets
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paul Albert
Jack Valmadre
Eric Arazo
Tarun Krishna
Noel E. O'Connor
Kevin McGuinness
AAML
31
0
0
08 Jul 2024
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
133
103
0
14 Jul 2021
1