LOG: Active Model Adaptation for Label-Efficient OOD Generalization

Neural Information Processing Systems 

This work discusses how to achieve worst-case Out-Of-Distribution (OOD) generalization for a variety of distributions based on a relatively small labeling cost. The problem has broad applications, especially in non-i.i.d.

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