Tackling Instance-Dependent Label Noise via a Universal Probabilistic
Model

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

14 January 2021

Bo Han

Papers citing "Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model"

5 / 5 papers shown

Title
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 35 6 0 21 Mar 2023
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 32 4 0 21 Mar 2022
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 37 104 0 11 Jan 2020
Learning from Binary Labels with Instance-Dependent Corruption A. Menon Brendan van Rooyen Nagarajan Natarajan NoLa 31 41 0 03 May 2016