Retraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Retraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning ; volume:80 ; number:12 ; day:6 ; month:5 ; year:2024 ; pages:18321 ; date:8.2024
The journal of supercomputing ; 80, Heft 12 (6.5.2024), 18321, 8.2024
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11227-024-06156-z
- URN
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urn:nbn:de:101:1-2409252120119.395459152685
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
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Beteiligte
- Ahmed, Usman
- Lin, Jerry Chun-Wei
- SpringerLink (Online service)
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