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STRUDEL: Self-Training with Uncertainty Dependent Label Refinement
  across Domains

STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

23 April 2021
Fabian Gröger
Anne-Marie Rickmann
Christian Wachinger
ArXivPDFHTML

Papers citing "STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains"

3 / 3 papers shown
Title
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
180
124
0
29 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1