Variational Hyper-encoding Networks

Nguyen, Thanh Phuoc, Tran, Truyen, Gupta, S, Rana, Santu, Dam, HC and Venkatesh, Svetha 2021, Variational Hyper-encoding Networks, in ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Springer, Cham, Switzerland, pp. 100-115, doi: 10.1007/978-3-030-86520-7_7.

Attached Files
Name Description MIMEType Size Downloads

Title Variational Hyper-encoding Networks
Author(s) Nguyen, Thanh PhuocORCID iD for Nguyen, Thanh Phuoc orcid.org/0000-0002-1649-2519
Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Gupta, S
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Dam, HC
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Machine Learning and Knowledge Discovery in Databases. Conference (2021 : Bilbao, Spain)
Conference location Bilbao, Spain
Conference dates 2021/09/13 - 2021/09/17
Title of proceedings ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track
Publication date 2021-01-01
Series Lecture Notes in Computer Science ; 12975
Start page 100
End page 115
Total pages 16
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Deep generative models
meta-learning
hyper networks
ISBN 9783030865191
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-86520-7_7
HERDC Research category E1 Full written paper - refereed
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30156481

Document type: Conference Paper
Collection: A2I2 (Applied Artificial Intelligence Institute)
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 07 Oct 2021, 10:49:34 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.