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📄 ResearchJune 15, 2026

One-Step Generalization Ratio Guided Optimization for Domain Generalization

Domain Generalization (DG) aims to train models that generalize to unseen target domains but often overfit to domain-specific features, known as undesired correlations. Gradient-based DG methods typically guide gradients in a dominant direction but often inadvertently reinforce spurious correlations...

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Source

http://arxiv.org/abs/2606.16301v1