From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

27 June 2024

Papers citing "From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions"

5 / 5 papers shown

Title
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu C. Miao Xiansheng Hua Hanwang Zhang 22 17 0 29 Jun 2022
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 112 120 0 04 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 206 506 0 15 Jan 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 29 121 0 10 Dec 2020
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System Devansh Saxena Karla A. Badillo-Urquiola Pamela J. Wisniewski Shion Guha 54 106 0 07 Mar 2020