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-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
Neural Information Processing Systems (NeurIPS), 2025
4 August 2025
Jialiang Wang
Xiong Zhou
Deming Zhai
Junjun Jiang
Xiangyang Ji
Xianming Liu
NoLa
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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
Jeremiah Birrell
Reza Ebrahimi
NoLa
80
0
0
08 Aug 2025
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration
Kyohei Atarashi
S. Oyama
Hiromi Arai
H. Kashima
173
0
0
12 Jun 2025
Combating noisy labels by agreement: A joint training method with co-regularization
Computer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
719
596
0
05 Mar 2020
1