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Safe Self-Refinement for Transformer-based Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich source domain to solve tasks on a related unlabeled target domain.

Data and Resources

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Cite this as

Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling (2024). Dataset: Safe Self-Refinement for Transformer-based Domain Adaptation. https://doi.org/10.57702/7q9zupyw

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Tao Sun
More Authors	Cheng Lu Tianshuo Zhang Haibin Ling
Homepage	https://github.com/tsun/SSRT