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Is your noise correction noisy? PLS: Robustness to label noise with two
  stage detection

Is your noise correction noisy? PLS: Robustness to label noise with two stage detection

10 October 2022
Paul Albert
Eric Arazo
Tarun Kirshna
Noel E. O'Connor
Kevin McGuinness
    NoLa
ArXivPDFHTML

Papers citing "Is your noise correction noisy? PLS: Robustness to label noise with two stage detection"

8 / 8 papers shown
Title
Open set label noise learning with robust sample selection and margin-guided module
Open set label noise learning with robust sample selection and margin-guided module
Yuandi Zhao
Qianxi Xia
Yang Sun
Zhijie Wen
Liyan Ma
Shihui Ying
NoLa
44
0
0
08 Jan 2025
Label Noise: Ignorance Is Bliss
Label Noise: Ignorance Is Bliss
Yilun Zhu
Jianxin Zhang
Aditya Gangrade
Clayton Scott
NoLa
26
0
0
31 Oct 2024
One-step Noisy Label Mitigation
One-step Noisy Label Mitigation
Hao Li
Jiayang Gu
Jingkuan Song
An Zhang
Lianli Gao
NoLa
24
0
0
02 Oct 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
36
0
0
08 Jul 2024
Unleashing the Potential of Open-set Noisy Samples Against Label Noise
  for Medical Image Classification
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification
Zehui Liao
Shishuai Hu
Yong-quan Xia
33
0
0
18 Jun 2024
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy
  Labels
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
Ke Wang
Guillermo Ortiz-Jimenez
Rodolphe Jenatton
Mark Collier
Efi Kokiopoulou
Pascal Frossard
AAML
19
2
0
10 Oct 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for
  Severe Label Noise
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar
Minh Nguyen Nhat To
P. Mousavi
Purang Abolmaesumi
NoLa
24
4
0
13 Aug 2023
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
218
861
0
15 Oct 2021
1