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Found 3 papers, 2 papers with code
Exploring Dropout Discriminator for Domain Adaptation
Among the methodologies used, that of adversarial learning is widely applied to solve many deep learning problems along with domain adaptation.
Domain Impression: A Source Data Free Domain Adaptation Method
This practical scenario creates a bottleneck in the domain adaptation problem.
Curriculum based Dropout Discriminator for Domain Adaptation
However, here we suggest that rather than using a point estimate, it would be useful if a distribution based discriminator could be used to bridge this gap.
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