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Contrast and Clustering: Learning Neighborhood Pair Representation for Source-Free Domain Adaptation

https://doi.org/10.2139/ssrn.4412854
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inferred← citeshttps://doi.org/10.2139/ssrn.4634734openalex-extracted
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
inferred← citeshttps://doi.org/10.1007/978-3-031-72973-7_23openalex-snapshot
Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126921openalex-snapshot
Source-Free Unsupervised Domain Adaptation: Current research and future directions
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128425openalex-snapshot
Rectifying self-training with neighborhood consistency and proximity for source-free domain adaptation
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.08.005openalex-snapshot
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106173openalex-snapshot
Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning
inferred← citeshttps://doi.org/10.1016/j.ress.2024.110181openalex-snapshot
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
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