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Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
A key challenge in multi-source transfer learning is to capture the diverse inter-domain similarities.
Robust Domain-Free Domain Generalization with Class-aware Alignment
In this paper, we propose Domain-Free Domain Generalization (DFDG), a model-agnostic method to achieve better generalization performance on the unseen test domain without the need for source domain labels.
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