Synthetic noise domains serve as surrogate sources to tighten generalization bounds and improve performance in semi-supervised target domains via the proposed Noise Adaptation Framework.
Noise may contain transferable knowledge: Under- standing semi-supervised heterogeneous domain adap- tation from an empirical perspective.arXiv preprint arXiv:2502.13573,
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Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
Synthetic noise domains serve as surrogate sources to tighten generalization bounds and improve performance in semi-supervised target domains via the proposed Noise Adaptation Framework.