I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
NNSmith: Generating Diverse and Valid Test Cases for Deep L..:
, In:
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2
,
Liu, Jiawei
;
Lin, Jinkun
;
Ruffy, Fabian
... - p. 530-543 , 2023
Link:
https://dl.acm.org/doi/10.1145/3575693.3575707
RT T1 <cTitle>Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2</cTitle>: T1 <Title>NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3575707&Exemplar=1&LAN=DE A1 Liu, Jiawei A1 Lin, Jinkun A1 Ruffy, Fabian A1 Tan, Cheng A1 Li, Jinyang A1 Panda, Aurojit A1 Zhang, Lingming PB ACM YR 2023 K1 Compiler Testing K1 Deep Learning Compilers K1 Fuzzing K1 Software and its engineering K1 Software testing and debugging K1 Computing methodologies K1 Neural networks SP 530 OP 543 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3575693.3575707 DO https://dl.acm.org/doi/10.1145/3575693.3575707 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
