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...
| Main Authors: | , , |
|---|---|
| מחברים אחרים: | |
| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Association for Computational Linguistics (ACL)
2021
|
| גישה מקוונת: | https://hdl.handle.net/1721.1/137419 |