Open AccessInterpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
Author(s) -
Luxin Zhang,
Pascal Germain,
Yacine Kessaci,
Christophe Biernacki
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i8.20890
Subject(s) - computer science , exploit , leverage (statistics) , interpretability , domain adaptation , domain (mathematical analysis) , artificial intelligence , machine learning , transformation (genetics) , context (archaeology) , maximization , data mining , adaptation (eye) , pattern recognition (psychology) , classifier (uml) , mathematics , mathematical optimization , mathematical analysis , paleontology , biochemistry , chemistry , physics , computer security , biology , optics , gene
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