Demystifying Disagreement-on-the-Line in High Dimensions

Donghwan Lee, Behrad Moniri, Xinmeng Huang +2

Evaluating the performance of machine learning models under distribution shift is challenging, especially when we only have unlabeled data from the shifted (target) domain, along w…