中文版 | English
Title

Density-driven Regularization for Out-of-distribution Detection

Author
Corresponding AuthorJianguo Zhang
Joint first authorWenjian Huang; Hao Wang
Publication Years
2022
Conference Name
Thirty-sixth Conference on Neural Information Processing Systems
Conference Date
2022.11.28 - 2022.12.9
Conference Place
the New Orleans Convention Center during the first week, and a virtual component the second week.
SUSTech Authorship
First ; Corresponding
Language
English
Data Source
人工提交
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/415793
DepartmentResearch Institute of Trustworthy Autonomous Systems
工学院_计算机科学与工程系
Affiliation
1.Dept. of Computer Science and Engineering, Southern University of Science and Technology
2.Faculty of Engineering and IT, University of Technology Sydney
3.Human Phenome Institute, Fudan University
4.Research Institute of Trustworthy Autonomous Systems and Dept. of Computer Science and Engineering, Southern University of Science and Technology
5.Peng Cheng Lab, Shenzhen, China
First Author AffilicationSouthern University of Science and Technology
Corresponding Author AffilicationResearch Institute of Trustworthy Autonomous Systems
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Wenjian Huang,Hao Wang,Jiahao Xia,et al. Density-driven Regularization for Out-of-distribution Detection[C],2022.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Wenjian Huang]'s Articles
[Hao Wang]'s Articles
[Jiahao Xia]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Wenjian Huang]'s Articles
[Hao Wang]'s Articles
[Jiahao Xia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wenjian Huang]'s Articles
[Hao Wang]'s Articles
[Jiahao Xia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.