Transporting causal mechanisms for unsupervised domain adaptation
Existing Unsupervised Domain Adaptation (UDA) literature adopts the covariate shift and conditional shift assumptions, which essentially encourage models to learn common features across domains. However, due to the lack of supervision in the target domain, they suffer from the semantic loss: the fea...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6229 https://ink.library.smu.edu.sg/context/sis_research/article/7232/viewcontent/ICCV_transport_causal_mechanisms_uda__2_.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |