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
Collaborative Pseudo Labeling for Prompt-Based Learning:
, In:
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Chien, Jen-Tzung
;
Chen, Chien-Ching
- p. 51-56 , 2023
Link:
https://doi.org/10.1109/APSIPAASC58517.2023.10317441
RT T1
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
: T1
Collaborative Pseudo Labeling for Prompt-Based Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10317441&Exemplar=1&LAN=DE A1 Chien, Jen-Tzung A1 Chen, Chien-Ching YR 2023 SN 2640-0103 K1 Natural languages K1 Transfer learning K1 Collaboration K1 Information processing K1 Data models K1 Labeling K1 Task analysis SP 51 OP 56 LK http://dx.doi.org/https://doi.org/10.1109/APSIPAASC58517.2023.10317441 DO https://doi.org/10.1109/APSIPAASC58517.2023.10317441 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)