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Learning from Noisy Labels via Dynamic Loss Thresholding

Learning from Noisy Labels via Dynamic Loss Thresholding

1 April 2021
Hao Yang
Youzhi Jin
Zi-Hua Li
Deng-Bao Wang
Lei Miao
Xin Geng
Min-Ling Zhang
    NoLa
    AI4CE
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Papers citing "Learning from Noisy Labels via Dynamic Loss Thresholding"

4 / 4 papers shown
Title
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift
  Detection
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
Hyewon Park
Hyejin Park
Jueun Ko
Dongbo Min
TTA
33
0
0
13 Sep 2024
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
Zheng Xie
Yu Liu
Hao He
Ming Li
Zhi-Hua Zhou
NoLa
16
4
0
23 May 2023
A Robust Optimization Method for Label Noisy Datasets Based on Adaptive
  Threshold: Adaptive-k
A Robust Optimization Method for Label Noisy Datasets Based on Adaptive Threshold: Adaptive-k
Enes Dedeoglu
Himmet Toprak Kesgin
M. Amasyalı
NoLa
15
2
0
26 Mar 2022
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
655
0
23 Mar 2020
1