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Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
In this paper, we attempt to query examples that are both likely from known classes and highly informative, and propose a \textit{Bidirectional Uncertainty-based Active Learning} (BUAL) framework.
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
In recommender systems, knowledge graph (KG) can offer critical information that is lacking in the original user-item interaction graph (IG).
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