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Decoding Self-Attention : How frequency matrices drive representation learning? - 2026
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Paper published in a book (Scientific congresses and symposiums)
Decoding Self-Attention : How frequency matrices drive representation learning?
Vanni, Laurent
;
Longrée, Dominique
;
Mayaffre, Damon
2026
•
In
18th International Conference on Statisical Analysis of Textual Data (JADT 2026)
Peer reviewed
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https://hdl.handle.net/2268/346063
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JADT2026_VanniMayaffreLongree_EN.pdf
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Keywords :
Deep Learning, Self-Attention, frequency matrices
Disciplines :
Languages & linguistics
Author, co-author :
Vanni, Laurent
Longrée, Dominique
;
Université de Liège - ULiège > Département des sciences de l'antiquité > Langue et littérature latines
Mayaffre, Damon
Language :
English
Title :
Decoding Self-Attention : How frequency matrices drive representation learning?
Publication date :
2026
Event name :
JADT
Event date :
12 au 17 /07/2026
Audience :
International
Main work title :
18th International Conference on Statisical Analysis of Textual Data (JADT 2026)
Publisher :
Universita di Palermo
Peer review/Selection committee :
Peer reviewed
Available on ORBi :
since 16 June 2026
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