Mapping DNN Embedding Manifolds for Network Generalization Prediction

Author:

O'Brien Molly1,Wolfinger Brett1,Bukowski Julia2,Unberath Mathias1,Pezeshk Aria3,Hager Greg3

Affiliation:

1. Johns Hopkins University,Baltimore,MD

2. Villanova University,Villanova,PA

3. Center for Devices and Radiological Health,MD

Publisher

IEEE

Reference41 articles.

1. Wilds: A benchmark of in-the- wild distribution shifts;koh;International Conference on Machine Learning,2021

2. No subclass left behind: Fine-grained robustness in coarse-grained classification problems;sohoni;Advances in neural information processing systems,2020

3. Predicting the generalization gap in deep networks with margin distributions;jiang;International Conference on Learning Representations,2018

4. Very deep convolutional networks for large-scale image recognition;simonyan,2014

5. Learning multiple layers of features from tiny images;krizhevsky,2009

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