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Found 4 papers, 4 papers with code
Certainty Volume Prediction for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) deals with the problem of classifying unlabeled target domain data while labeled data is only available for a different source domain.
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) deals with the adaptation process of a model to an unlabeled target domain while annotated data is only available for a given source domain.
Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) deals with the adaptation process of a given source domain with labeled training data to a target domain for which only unannotated data is available.
Unsupervised Domain Adaptation by Uncertain Feature Alignment
Unsupervised domain adaptation (UDA) deals with the adaptation of models from a given source domain with labeled data to an unlabeled target domain.
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