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Towards Realizing the Value of Labeled Target Samples: a Two-Stage
  Approach for Semi-Supervised Domain Adaptation

Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation

21 April 2023
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
ArXivPDFHTML

Papers citing "Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation"

2 / 2 papers shown
Title
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
61
120
0
19 Apr 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
174
9,327
0
28 May 2015
1