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.
Neural Information Processing Systems
Nov-14-2025, 04:02:14 GMT
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