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Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for
  Multi-Source Domain Adaptation

Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation

5 August 2022
Tong Bill Xu
Lin Wang
Wu Ning
Chunyan Lyu
Kejun Wang
Chenhui Wang
ArXivPDFHTML

Papers citing "Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation"

3 / 3 papers shown
Title
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
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
127
268
0
16 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