CEB Improves Model Robustness

Intuitively, one way to make classifiers more robust to their input is to have them depend less sensitively on their input. The Information Bottleneck (IB) tries to learn compressed representations of input that are still predictive. Scaling up IB approaches to large scale image classification tasks...

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Bibliographic Details
Main Authors: Ian Fischer, Alexander A. Alemi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/10/1081

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