CLDA: an adversarial unsupervised domain adaptation method with classifier-level adaptation
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DOI: 10.1007/s11042-020-08877-8
Abstract: Domain adaptation is an active and important research field in transfer learning. Unsupervised domain adaptation, which is better in line with real-world scenarios than supervised and semi-supervised domain adaptation, has attracted much attention and research.… read more here.
Keywords: adversarial unsupervised; domain; level; domain adaptation ... See more keywords