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DINE: Domain Adaptation from Single and Multiple Black-box Predictors

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

4 April 2021
Jian Liang
Dapeng Hu
Jiashi Feng
R. He
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Papers citing "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

7 / 7 papers shown
Title
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
14
1
0
12 Mar 2024
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
11
5
0
19 Jul 2022
Semantic Concentration for Domain Adaptation
Semantic Concentration for Domain Adaptation
Shuang Li
Mixue Xie
Fangrui Lv
Chi Harold Liu
Jian Liang
C. Qin
Wei Li
52
85
0
12 Aug 2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang
Yabin Zhang
K. Jia
Lei Zhang
114
50
0
08 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
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
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
R. He
Jiashi Feng
129
104
0
05 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
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
1