Easy Batch Normalization
Easy Batch Normalization
About this item
Full title
Easy Batch Normalization
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
arXiv.org, 2022-07
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
It was shown that adversarial examples improve object recognition. But what about their opposite side, easy examples? Easy examples are samples that the machine learning model classifies correctly with high confidence. In our paper, we are making the first step toward exploring the potential benefits of using easy examples in the training procedure...
Alternative Titles
Full title
Easy Batch Normalization
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2691900364
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2691900364
Other Identifiers
E-ISSN
2331-8422
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