On the Importance of Feature Separability in Predicting Out-Of-Distribution Error

Oct-8-2025, 17:50:11 GMT–Neural Information Processing Systems

Estimating the generalization performance is practically challenging on out-of-distribution (OOD) data without ground-truth labels.

accuracy, artificial intelligence, machine learning, (17 more...)

Neural Information Processing Systems

Oct-8-2025, 17:50:11 GMT

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  - China > Chongqing Province
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- Information Technology > Artificial Intelligence
  - Machine Learning
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    - Statistical Learning (1.00)
  - Representation & Reasoning (1.00)

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On the Importance of Feature Separability in Predicting Out-Of-Distribution Error

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