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
Better Generalization in Fast Training: Flat Trainable Weig..:
, In:
Proceedings of the 2024 16th International Conference on Machine Learning and Computing
,
Lei, Zehao
;
Wu, Yingwen
;
Li, Tao
- p. 470-477 , 2024
Link:
https://dl.acm.org/doi/10.1145/3651671.3651740
RT T1
Proceedings of the 2024 16th International Conference on Machine Learning and Computing
: T1
Better Generalization in Fast Training: Flat Trainable Weight in Subspace
UL https://suche.suub.uni-bremen.de/peid=acm-3651740&Exemplar=1&LAN=DE A1 Lei, Zehao A1 Wu, Yingwen A1 Li, Tao PB ACM YR 2024 K1 accelerate convergence K1 fast training K1 generalization K1 Networks K1 Network algorithms SP 470 OP 477 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3651671.3651740 DO https://dl.acm.org/doi/10.1145/3651671.3651740 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)