Automatic loss function search for adversarial unsupervised domain adaptation
Unsupervised domain adaption (UDA) aims to reduce the domain gap between labeled
source and unlabeled target domains. Many prior works exploit adversarial learning that …
source and unlabeled target domains. Many prior works exploit adversarial learning that …
DeNKD: Decoupled non-target Knowledge Distillation for Complementing Transformer-based Unsupervised Domain Adaptation
There is a growing need to explore the potential of transformers in Unsupervised Domain
Adaptation (UDA) due to their increasing success in various vision tasks. However, the …
Adaptation (UDA) due to their increasing success in various vision tasks. However, the …
Explainable supervised domain adaptation
V Kamakshi, NC Krishnan - 2022 International Joint Conference …, 2022 - ieeexplore.ieee.org
Domain adaptation techniques have contributed to the success of deep learning.
Leveraging knowledge from an auxiliary source domain for learning in labeled data-scarce …
Leveraging knowledge from an auxiliary source domain for learning in labeled data-scarce …