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
Robust Learning by Self-Transition for Handling Noisy Label:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Song, Hwanjun
;
Kim, Minseok
;
Park, Dongmin
.. - p. 1490-1500 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467222
RT T1
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
: T1
Robust Learning by Self-Transition for Handling Noisy Labels
UL https://suche.suub.uni-bremen.de/peid=acm-3467222&Exemplar=1&LAN=DE A1 Song, Hwanjun A1 Kim, Minseok A1 Park, Dongmin A1 Shin, Yooju A1 Lee, Jae-Gil PB ACM YR 2021 K1 deep learning K1 label noise K1 noisy label K1 robust learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Machine learning approaches K1 Neural networks SP 1490 OP 1500 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467222 DO https://dl.acm.org/doi/10.1145/3447548.3467222 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)