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Bayesian Uncertainty Matching for Unsupervised Domain Adaptation

Bayesian Uncertainty Matching for Unsupervised Domain Adaptation

24 June 2019
Jun Wen
Nenggan Zheng
Junsong Yuan
Zhefeng Gong
Changyou Chen
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Bayesian Uncertainty Matching for Unsupervised Domain Adaptation"

9 / 9 papers shown
Title
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Junyu Gao
Da Zhang
Qiyu Wang
Zhiyuan Zhao
Xuelong Li
46
0
0
22 Apr 2024
Subspace Identification for Multi-Source Domain Adaptation
Subspace Identification for Multi-Source Domain Adaptation
Zijian Li
Ruichu Cai
Guan-Hong Chen
Boyang Sun
Z. Hao
Kun Zhang
34
33
0
07 Oct 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via
  Bayesian Uncertainty Alignment
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
Kecheng Chen
Jie Liu
Renjie Wan
Victor Ho-Fun Lee
Varut Vardhanabhuti
Hong Yan
Haoliang Li
OOD
26
5
0
26 Feb 2023
Joint covariate-alignment and concept-alignment: a framework for domain
  generalization
Joint covariate-alignment and concept-alignment: a framework for domain generalization
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
22
4
0
01 Aug 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
46
13
0
23 Sep 2021
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object
  Detection
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
Minjie Cai
Minyi Luo
Xionghu Zhong
Hao Chen
OOD
14
6
0
28 Aug 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for
  Source-Free Unsupervised Domain Adaptation
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
13
4
0
29 Mar 2021
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary
  Interval Predictors
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Jayaraman J. Thiagarajan
Bindya Venkatesh
P. Sattigeri
P. Bremer
UQCV
17
31
0
09 Sep 2019
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
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