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Learning to Combat Noisy Labels via Classification Margins
v1v2 (latest)

Learning to Combat Noisy Labels via Classification Margins

1 February 2021
Jason Lin
Jelena Bradic
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Learning to Combat Noisy Labels via Classification Margins"

4 / 4 papers shown
Exploring the Learning Difficulty of Data Theory and Measure
Exploring the Learning Difficulty of Data Theory and MeasureACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
381
10
0
16 May 2022
Robust Training under Label Noise by Over-parameterization
Robust Training under Label Noise by Over-parameterizationInternational Conference on Machine Learning (ICML), 2022
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLaOOD
330
150
0
28 Feb 2022
LIGAR: Lightweight General-purpose Action Recognition
LIGAR: Lightweight General-purpose Action Recognition
Evgeny Izutov
175
4
0
30 Aug 2021
Binary classification with corrupted labels
Binary classification with corrupted labels
Yonghoon Lee
Rina Foygel Barber
401
11
0
16 Jun 2021
1
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