The paper introduces D3G, a method that focuses on addressing domain shifts by leveraging domain relations to improve model robustness. Unlike traditional approaches that aim for domain invariance, D3G learns domain-specific models based on domain metadata. The method incorporates consistency regularization and refines domain relations to enhance training and inference processes. Empirical evaluations on various datasets show that D3G consistently outperforms state-of-the-art methods, demonstrating its effectiveness in improving out-of-domain generalization.
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by Huaxiu Yao,X... at arxiv.org 03-19-2024
https://arxiv.org/pdf/2302.02609.pdfDeeper Inquiries