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Do We Really Need Gold Samples for Sample Weighting Under Label Noise?

Do We Really Need Gold Samples for Sample Weighting Under Label Noise?

19 April 2021
Aritra Ghosh
Andrew Lan
    NoLa
ArXivPDFHTML

Papers citing "Do We Really Need Gold Samples for Sample Weighting Under Label Noise?"

5 / 5 papers shown
Title
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model
  Generalization Analysis
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Chong You
Xingjian Leng
Zijian Wang
Yang Yang
Zi Huang
Liang Zheng
OOD
40
8
0
06 Oct 2023
Learning with Noisy Labels by Efficient Transition Matrix Estimation to
  Combat Label Miscorrection
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
35
15
0
29 Nov 2021
Contrastive Learning Improves Model Robustness Under Label Noise
Contrastive Learning Improves Model Robustness Under Label Noise
Aritra Ghosh
Andrew Lan
NoLa
21
58
0
19 Apr 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
112
718
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
481
11,715
0
09 Mar 2017
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