Evolving Standardization for Continual Domain Generalization over Temporal Drift
–Neural Information Processing Systems
The capability of generalizing to out-of-distribution data is crucial for the deployment of machine learning models in the real world.
Neural Information Processing Systems
Nov-15-2025, 16:58:21 GMT