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URL: Combating Label Noise for Lung Nodule Malignancy Grading

URL: Combating Label Noise for Lung Nodule Malignancy Grading

17 August 2023
Xianze Ai
Zehui Liao
Yong-quan Xia
    NoLa
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "URL: Combating Label Noise for Lung Nodule Malignancy Grading"

11 / 11 papers shown
Title
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning
  for Ordinal Regression
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
Qiang Li
Jingjing Wang
Zhaoliang Yao
Yachun Li
Pengju Yang
Jingwei Yan
Chunmao Wang
Shi Pu
62
31
0
01 Apr 2022
Meta Ordinal Regression Forest for Medical Image Classification with
  Ordinal Labels
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels
Yiming Lei
Haiping Zhu
Junping Zhang
Hongming Shan
65
21
0
15 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li
Xiaobo Xia
Shiming Ge
Tongliang Liu
NoLa
86
178
0
08 Mar 2022
Robustness of Accuracy Metric and its Inspirations in Learning with
  Noisy Labels
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
159
34
0
08 Dec 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
106
569
0
30 Jun 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep
  Neural Networks
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
Xinshao Wang
Yang Hua
Elyor Kodirov
David Clifton
N. Robertson
NoLa
81
61
0
07 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
181
4,587
0
23 Apr 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
110
1,036
0
18 Feb 2020
NLNL: Negative Learning for Noisy Labels
NLNL: Negative Learning for Noisy Labels
Youngdong Kim
Junho Yim
Juseung Yun
Junmo Kim
NoLa
60
277
0
19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
99
904
0
16 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
192
18,224
0
28 May 2019
1