arXiv stat.ML
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A probabilistic framework for online test-time adaptation
arXiv:2606.26457v1 Announce Type: new Abstract: This paper presents a probabilistic framework for online test-time adaptation problems. In them, a model is trained on labeled data but must adapt to unlabeled data at test time under the assumption that training and test distributions potentially differ, that is, there m