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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation.

Shuang Li, Rui Zhang, Kaixiong Gong

    IEEE Transactions on Neural Networks and Learning Systems
    |December 21, 2023
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    Summary
    This summary is machine-generated.

    Source-free active domain adaptation (SFADA) addresses data privacy by querying target labels without source data. SQAdapt efficiently selects informative target samples and adapts models, outperforming existing methods.

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    2026-06-19T13:40:30.229199+00:00

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