Multi-Source Domain Adaptation with Mixture of Experts

© 2018 Association for Computational Linguistics We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources. The key idea is to explicitly capture the relationship between a target example and different source domains. This relationship, expressed by a point-to...

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Bibliographic Details
Main Authors: Guo, Jiang (Author), Shah, Darsh (Author), Barzilay, Regina (Author)
Format: Article
Language:English
Published: Association for Computational Linguistics (ACL), 2021-11-05T11:25:18Z.
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