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Do We Need to Penalize Variance of Losses for Learning with Label Noise?

Do We Need to Penalize Variance of Losses for Learning with Label Noise?

30 January 2022
Yexiong Lin
Yu Yao
Yuxuan Du
Jun Yu
Bo Han
Mingming Gong
Tongliang Liu
    NoLa
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Papers citing "Do We Need to Penalize Variance of Losses for Learning with Label Noise?"

3 / 3 papers shown
Title
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy
  Label Learning
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
Heesun Bae
Seungjae Shin
Byeonghu Na
Il-Chul Moon
NoLa
31
3
0
05 Mar 2024
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
17
7
0
13 Oct 2023
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
112
120
0
04 Feb 2021
1