De-Confusing Pseudo-Labels in Source-Free Domain Adaptation

3 January 2024

Papers citing "De-Confusing Pseudo-Labels in Source-Free Domain Adaptation"

5 / 5 papers shown

Title
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 27 47 0 07 Mar 2023
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Qi Tian 22 18 0 13 Jul 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 106 119 0 04 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 8,353 0 28 May 2015