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Found 3 papers, 2 papers with code
Transferring Inter-Class Correlation
The Teacher-Student (T-S) framework is widely utilized in the classification tasks, through which the performance of one neural network (the student) can be improved by transferring knowledge from another trained neural network (the teacher).
Maximum Density Divergence for Domain Adaptation
In this paper, we propose a new domain adaptation method named Adversarial Tight Match (ATM) which enjoys the benefits of both adversarial training and metric learning.
Locality Preserving Joint Transfer for Domain Adaptation
Domain adaptation aims to leverage knowledge from a well-labeled source domain to a poorly-labeled target domain.
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