Unpublished conference/Abstract (Scientific congresses and symposiums)
Re-assessing Accuracy Degradation: A Framework for Understanding DNN Behavior on Similar-but-not-identical Test Datasets
Anzaku, Esla Timothy; Wang, Haohan; Babalola, Ajiboye et al.
2024The 16th Asian Conference on Machine Learning (ACML) 2024
 

Files


Full Text
acml_2024_eta_final.pdf
Author postprint (2.55 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Anzaku, Esla Timothy
Wang, Haohan
Babalola, Ajiboye
Van Messem, Arnout  ;  Université de Liège - ULiège > Mathematics
De Neve, Wesley
Language :
English
Title :
Re-assessing Accuracy Degradation: A Framework for Understanding DNN Behavior on Similar-but-not-identical Test Datasets
Publication date :
December 2024
Event name :
The 16th Asian Conference on Machine Learning (ACML) 2024
Event place :
Hanoi, Vietnam
Event date :
December 5-8, 2024
Audience :
International
Available on ORBi :
since 24 February 2025

Statistics


Number of views
28 (0 by ULiège)
Number of downloads
16 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi