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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3044153
Abstract: Domain adaptation (DA) is a technology that transfers knowledge from the source domain to the target domain. General domain adaptation assume that the source and the target domain have the same label space. However, in…
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Keywords:
domain adaptation;
acoustic scene;
weighted partial;
partial domain ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3223950
Abstract: Domain adaptation enables generalized learning in new environments by transferring knowledge from label-rich source domains to label-scarce target domains. As a more realistic extension, partial domain adaptation (PDA) relaxes the assumption of fully shared label…
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Keywords:
domain adaptation;
network;
adaptation;
reinforced adaptation ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3163432
Abstract: Partial domain adaptation (PDA) attempts to learn transferable models from a large-scale labeled source domain to a small unlabeled target domain with fewer classes, which has attracted a recent surge of interest in transfer learning.…
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Keywords:
domain adaptation;
critical classes;
target;
partial domain ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3145034
Abstract: This work addresses unsupervised partial domain adaptation (PDA), in which classes in the target domain are a subset of the source domain. The key challenges of PDA are how to leverage source samples in the…
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Keywords:
adaptation;
learning assisted;
domain;
source ... See more keywords
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2
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3194533
Abstract: Domain adaptation is a promising way to ease the costly data labeling process in the era of deep learning (DL). A practical situation is partial domain adaptation (PDA), where the label space of the target…
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Keywords:
domain adaptation;
neural networks;
domain;
partial domain ... See more keywords