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

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

DOI retrieved: December 2, 2024

Additional Info

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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