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Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

28 May 2022
Jianfei Yang
Xiangyu Peng
K. Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
ArXivPDFHTML

Papers citing "Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors"

5 / 5 papers shown
Title
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
126
210
0
07 Oct 2021
Partial Video Domain Adaptation with Partial Adversarial Temporal
  Attentive Network
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
Yuecong Xu
Jianfei Yang
Haozhi Cao
Qi Li
K. Mao
Zhenghua Chen
AI4TS
25
32
0
11 Jul 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
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