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A Novel Self-Supervised Re-labeling Approach for Training with Noisy
  Labels
v1v2v3 (latest)

A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
13 October 2019
Devraj Mandal
S. Bharadwaj
Soma Biswas
    NoLa
ArXiv (abs)PDFHTML

Papers citing "A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels"

8 / 8 papers shown
Foster Adaptivity and Balance in Learning with Noisy Labels
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng
Zeren Sun
Tao Chen
Shuchao Pang
Yucheng Wang
Yazhou Yao
243
13
0
03 Jul 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample
  Selection
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
Huafeng Liu
Mengmeng Sheng
Zeren Sun
Yazhou Yao
Xian-Sheng Hua
Mengqi Li
NoLa
179
18
0
17 Feb 2024
Entailment as Robust Self-Learner
Entailment as Robust Self-LearnerAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiaxin Ge
Hongyin Luo
Yoon Kim
James R. Glass
228
3
0
26 May 2023
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
272
50
0
14 Oct 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervisionACM Multimedia (ACM MM), 2021
Cheng Tan
Jun Xia
Lirong Wu
Stan Z. Li
NoLa
408
148
0
05 Aug 2021
Estimating the electrical power output of industrial devices with
  end-to-end time-series classification in the presence of label noise
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Andrea Castellani
Sebastian Schmitt
Barbara Hammer
NoLa
294
26
0
01 May 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Aritra Ghosh
Andrew Lan
NoLa
196
12
0
19 Apr 2021
Friends and Foes in Learning from Noisy Labels
Friends and Foes in Learning from Noisy Labels
Yifan Zhou
Yifan Ge
Jianxin Wu
NoLa
164
2
0
28 Mar 2021
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