A study of the effects of negative transfer on deep unsupervised domain adaptation methods

Title
A study of the effects of negative transfer on deep unsupervised domain adaptation methods
Authors
Keywords
Unsupervised domain adaptation, Deep learning, Negative transfer, Dataset shift
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 114088
Publisher
Elsevier BV
Online
2020-10-17
DOI
10.1016/j.eswa.2020.114088

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More