Trustable Co-label Learning from Multiple Noisy Annotators

8 March 2022

Shiming Ge

Papers citing "Trustable Co-label Learning from Multiple Noisy Annotators"

4 / 4 papers shown

Title
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 22 0 26 Dec 2023
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 27 172 0 08 Mar 2022
Dynamic Bayesian Combination of Multiple Imperfect Classifiers Edwin Simpson Stephen J. Roberts Ioannis Psorakis Arfon M. Smith 58 144 0 08 Jun 2012