Abstract
Manual labeling of sufficient training data for diverse application domains is a costly, laborious task and often prohibitive. Therefore, designing models that can leverage rich labeled data in one domain and be applicable to a different but related domain is highly desirable. In particular, domain adaptation or transfer learning algorithms seek to generalize a model trained in a source domain to a new target domain. Recent years has witnessed increasing interest in these types of models due to their practical importance in real-life applications. In this paper we provide a brief overview of recent techniques with both shallow and deep architectures for domain adaptation models.
| Original language | English |
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| Title of host publication | ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
| Publisher | i6doc.com publication |
| Pages | 291-299 |
| Number of pages | 9 |
| ISBN (Electronic) | 9782875870476 |
| Publication status | Published - 2018 |
| Event | 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018 - Bruges, Belgium Duration: 25 Apr 2018 → 27 Apr 2018 |
Publication series
| Name | ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
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Conference
| Conference | 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018 |
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| Country/Territory | Belgium |
| City | Bruges |
| Period | 25/04/18 → 27/04/18 |
Bibliographical note
Funding Information:This work was supported by • The Postdoctoral Fellowship of the Research Foundation-Flanders (FWO: 12Z1318N). • Research Council KUL: CoE PFV/10/002, PhD/Postdoc grants Flemish Government; FWO: projects: G0A4917N, G.088114N. Siamak Mehrkanoon is Postdoctoral Fellow of the Research Foundation - Flanders (FWO). Matthew Blaschko is a professor at the KU Leuven, Belgium. Johan Suykens is a full professor at the KU Leuven, Belgium.
Publisher Copyright:
© ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Funding
This work was supported by • The Postdoctoral Fellowship of the Research Foundation-Flanders (FWO: 12Z1318N). • Research Council KUL: CoE PFV/10/002, PhD/Postdoc grants Flemish Government; FWO: projects: G0A4917N, G.088114N. Siamak Mehrkanoon is Postdoctoral Fellow of the Research Foundation - Flanders (FWO). Matthew Blaschko is a professor at the KU Leuven, Belgium. Johan Suykens is a full professor at the KU Leuven, Belgium.