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$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

εεε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

4 August 2025
Jialiang Wang
Xiong Zhou
Deming Zhai
Junjun Jiang
Xiangyang Ji
Xianming Liu
    NoLa
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise"

3 / 3 papers shown
Title
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Jeremiah Birrell
Reza Ebrahimi
NoLa
48
0
0
08 Aug 2025
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Kyohei Atarashi
S. Oyama
Hiromi Arai
H. Kashima
161
0
0
12 Jun 2025
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
572
552
0
05 Mar 2020
1