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Label-Noise Learning with Intrinsically Long-Tailed Data

Label-Noise Learning with Intrinsically Long-Tailed Data

21 August 2022
Yang Lu
Yiliang Zhang
Bo Han
Y. Cheung
Hanzi Wang
    NoLa
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Papers citing "Label-Noise Learning with Intrinsically Long-Tailed Data"

6 / 6 papers shown
Title
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Mengting Li
Chuang Zhu
26
0
0
07 Aug 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in
  Information Extraction
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Ziqian Zeng
38
1
0
28 Feb 2024
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
79
129
0
06 Oct 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
157
541
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
237
455
0
11 Mar 2020
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
1