On Non-Random Missing Labels in Semi-Supervised Learning

On Non-Random Missing Labels in Semi-Supervised Learning

29 June 2022

Hanwang Zhang

Papers citing "On Non-Random Missing Labels in Semi-Supervised Learning"

11 / 11 papers shown

Title
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 35 0 0 11 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 14 0 0 27 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 24 0 0 31 May 2024
On Prediction Feature Assignment in the Heckman Selection Model Huy Mai Xintao Wu 8 1 0 14 Sep 2023
Towards Semi-supervised Learning with Non-random Missing Labels Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 11 9 0 17 Aug 2023
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels Jason L. Lu Michael Ma Huaze Xu Zixi Xu 17 0 0 15 Aug 2023
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias Huy Mai Wen Huang Wei Du Xintao Wu OOD 8 0 0 25 May 2023
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng-Long Jiang 11 19 0 20 May 2023
Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism Aude Sportisse Hugo Schmutz O. Humbert C. Bouveyron Pierre-Alexandre Mattei 10 8 0 15 Feb 2023
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing Hugo Schmutz O. Humbert Pierre-Alexandre Mattei 9 8 0 14 Mar 2022
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 203 501 0 15 Jan 2021