Robustness to Augmentations as a Generalization metric

Generalization is the ability of a model to predict on unseen domains and is a fundamental task in machine learning. Several generalization bounds, both theoretical and empirical have been proposed but they do not provide tight bounds .In this work, we propose a simple yet effective method to predic...

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Veröffentlicht in:	arXiv.org 2021-01
Hauptverfasser:	Sumukh, Aithal K, Kashyap, Dhruva, Natarajan Subramanyam
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine learning
Online-Zugang:	Volltext
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