AI RESEARCH
Variance Matters: Improving Domain Adaptation via Stratified Sampling
arXiv CS.LG
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ArXi:2512.05226v2 Announce Type: replace Domain shift remains a key challenge in deploying machine learning models to the real world. Unsupervised domain adaptation (UDA) aims to address this by minimising domain discrepancy during