More is Not Always Better: Exploring Early Repair of DNNs

Andrei Mancu, Thomas Laurent, Franz Rieger, Paolo Arcaini, Fuyuki Ishikawa, Daniel Rueckert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024
PublisherAssociation for Computing Machinery, Inc
Pages13-16
Number of pages4
ISBN (Electronic)9798400705748
DOIs
StatePublished - Jul 2024
Externally publishedYes
Event2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024 - Lisbon, Portugal
Duration: Apr 20 2024 → …

Publication series

NameProceedings - 2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024

Conference

Conference2024 IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024
Country/TerritoryPortugal
CityLisbon
Period4/20/24 → …

ASJC Scopus Subject Areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence

Keywords

  • deep neural networks
  • DNN repair
  • DNN training
  • safety-critical

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