Domain Adaptation With Neural Embedding Matching
IEEE Transactions on Neural Networks and Learning Systems, pp. 2387-2397, 2019.
Domain adaptation aims to exploit the supervision knowledge in a source domain for learning prediction models in a target domain. In this article, we propose a novel representation learning-based domain adaptation method, i.e., neural embedding matching (NEM) method, to transfer information from the source domain to the target domain wher...More
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