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Found 4 papers, 1 papers with code
An open unified deep graph learning framework for discovering drug leads
However, this is non-ideal, as clumsy integration of incompatible models increases research overheads, and may even reduce success rates in drug discovery.
Universal Multi-Source Domain Adaptation
Recent study reveals that knowledge can be transferred from one source domain to another unknown target domain, called Universal Domain Adaptation (UDA).
Unveiling Class-Labeling Structure for Universal Domain Adaptation
As a more practical setting for unsupervised domain adaptation, Universal Domain Adaptation (UDA) is recently introduced, where the target label set is unknown.
Metric-Learning-Assisted Domain Adaptation
Domain alignment (DA) has been widely used in unsupervised domain adaptation.
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