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[2402.03588] Continual Domain Adversarial Adaptation via ...
arXiv
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arXiv
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由 Y Shen 著作2024被引用 1 次 — We propose a double-head discriminator algorithm, by introducing an addition source-only domain discriminator that are trained solely on source learning phase.
Continual Domain Adversarial Adaptation via Double-Head ...
Proceedings of Machine Learning Research
https://proceedings.mlr.press › ...
Proceedings of Machine Learning Research
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由 Y Shen 著作2024被引用 1 次 — We propose a double-head discriminator algorithm by introducing an addition source-only domain discriminator trained solely on the source learning phase.
Continual Domain Adversarial Adaptation via Double-Head ...
Proceedings of Machine Learning Research
https://proceedings.mlr.press › ...
Proceedings of Machine Learning Research
https://proceedings.mlr.press › ...
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由 Y Shen 著作2024被引用 1 次 — Domain adversarial adaptation in a contin- ual setting poses significant challenges due to the limitations of accessing previous source domain data.
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arXiv:2402.03588v1 [cs.LG] 5 Feb 2024
arXiv
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arXiv
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由 Y Shen 著作2024被引用 1 次 — (i) We propose, a double-head discriminator algorithm, tailored for adversarial adaptation in a CL setting. Different from existing works on ...
Continual Domain Adversarial Adaptation via Double- ...
alphaXiv
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alphaXiv
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View recent discussion. Abstract: Domain adversarial adaptation in a continual setting poses a significant challenge due to the limitations on accessing ...
yshen22/continual-domain-adversarial-adaptation
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This repository contains the code accompanying the AISTATS2024 paper " Continual Domain Adversarial Adaptation via Double-Head Discriminators " Paperlink:.
[PDF] Continual Domain Adversarial Adaptation via Double ...
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Semantic Scholar
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A double-head discriminator algorithm is proposed, by introducing an addition source-only domain discriminator that are trained solely on source learning ...
Continual Domain Adversarial Adaptation via Double- ...
Society for Artificial Intelligence and Statistics
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Society for Artificial Intelligence and Statistics
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Limitations of previous research: ▫ Self-supervised learning methods requires intermediate domain to be close enough. ▫ Unlike supervised continual learning ...
Continual Domain Adversarial Adaptation via Double- ...
Society for Artificial Intelligence and Statistics
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Society for Artificial Intelligence and Statistics
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Poster. Continual Domain Adversarial Adaptation via Double-Head Discriminators. Yan Shen · Zhanghexuan Ji · Chunwei Ma · Mingchen Gao. MR1 & MR2 - Number 6.
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(PDF) Multi-Adversarial Domain Adaptation
ResearchGate
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ResearchGate
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2024年10月22日 — In this paper, we present a multi-adversarial domain adaptation (MADA) approach, which captures multimode structures to enable fine-grained ...
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