Domain Adaptation With Neural Embedding Matching

Zengmao Wang
Zengmao Wang

IEEE Transactions on Neural Networks and Learning Systems, pp. 2387-2397, 2019.

Cited by: 20|Bibtex|Views9|DOI:https://doi.org/10.1109/TNNLS.2019.2935608
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|dblp.uni-trier.de

Abstract:

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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