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Found 2 papers, 1 papers with code
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.
Transfer Learning using Neural Ordinary Differential Equations
A concept of using Neural Ordinary Differential Equations(NODE) for Transfer Learning has been introduced.
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