Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation

14 July 2021

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

6 / 6 papers shown

Title
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 20 1 0 07 Jul 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 194 501 0 15 Jan 2021
Contradictory Structure Learning for Semi-supervised Domain Adaptation Can Qin Lichen Wang Qianqian Ma Yu Yin Huan Wang Y. Fu 97 20 0 06 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 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 244 1,279 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015