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
Quantize Sequential Recommenders Without Private Data:
, In:
Proceedings of the ACM Web Conference 2023
,
Shi, Lingfeng
;
Liu, Yuang
;
Wang, Jun
. - p. 1043-1052 , 2023
Link:
https://dl.acm.org/doi/10.1145/3543507.3583351
RT T1
Proceedings of the ACM Web Conference 2023
: T1
Quantize Sequential Recommenders Without Private Data
UL https://suche.suub.uni-bremen.de/peid=acm-3583351&Exemplar=1&LAN=DE A1 Shi, Lingfeng A1 Liu, Yuang A1 Wang, Jun A1 Zhang, Wei PB ACM YR 2023 K1 Data-free Quantization K1 Model Compression K1 Sequential Recommenders K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 World Wide Web K1 Web searching and information discovery K1 Personalization SP 1043 OP 1052 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543507.3583351 DO https://dl.acm.org/doi/10.1145/3543507.3583351 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)