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
Learning in the Wild: Towards Leveraging Unlabeled Data for..:
, In:
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)
,
Gao, Shuzheng
;
Mao, Wenxin
;
Gao, Cuiyun
... - p. 969-981 , 2024
Link:
https://doi.org/10.1145/3597503.3639216
RT T1 <cTitle>2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)</cTitle>: T1 <Title>Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-Trained Code Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10549593&Exemplar=1&LAN=DE A1 Gao, Shuzheng A1 Mao, Wenxin A1 Gao, Cuiyun A1 Li, Li A1 Hu, Xing A1 Xia, Xin A1 Lyu, Michael R. YR 2024 SN 1558-1225 K1 Training K1 Codes K1 Source coding K1 Predictive models K1 Data models K1 Task analysis K1 Tuning K1 Software and its engineering → Software development techniques SP 969 OP 981 LK http://dx.doi.org/https://doi.org/10.1145/3597503.3639216 DO https://doi.org/10.1145/3597503.3639216 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
