Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation

14 July 2021

Papers citing "Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation"

7 / 7 papers shown

Title
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 35 1 0 07 Jul 2023
A Comprehensive Survey on Source-free Domain Adaptation Zhiqi Yu Jingjing Li Zhekai Du Lei Zhu H. Shen TTA 21 94 0 23 Feb 2023
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 220 508 0 15 Jan 2021
Contradictory Structure Learning for Semi-supervised Domain Adaptation Can Qin Lichen Wang Qianqian Ma Yu Yin Huan Wang Y. Fu 104 21 0 06 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015