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CAReNet: A Promising AI Architecture for Low Data Regime Mixing Convolutions and Attention
Cools, Aurélie; Belarbi, Mohammed Amin; MAHMOUDI, Sidi
2025 • In Lecture Notes in Networks and Systems
Peer reviewed
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https://hdl.handle.net/20.500.12907/51091
DOI
10.1007/978-3-031-78698-3_3
 

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Disciplines :
Computer science
Author, co-author :
Cools, Aurélie  ;  Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Belarbi, Mohammed Amin  ;  Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
MAHMOUDI, Sidi  ;  Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Language :
English
Title :
CAReNet: A Promising AI Architecture for Low Data Regime Mixing Convolutions and Attention
Publication date :
01 January 2025
Main work title :
Lecture Notes in Networks and Systems
Publisher :
Springer Nature Switzerland
ISBN/EAN :
978-3-03-178698-3
978-3-03-178697-6
Peer reviewed :
Peer reviewed
Additional URL :
https://link.springer.com/content/pdf/10.1007/978-3-031-78698-3_3
Research unit :
F114 - Informatique, Logiciel et Intelligence artificielle
Research institute :
Numediart
Infortech
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since 08 January 2025

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