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LanDA: Language-Guided Multi-Source Domain Adaptation
Multi-Source Domain Adaptation (MSDA) aims to mitigate changes in data distribution when transferring knowledge from multiple labeled source domains to an unlabeled target domain.
AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering
Experimental evaluations show that the proposed method outperforms state-of-the-art representation learning methods in terms of neighbor clustering accuracy.
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