Pushing AI out of the lab with on-the-fly mixture domain adaptation

Pierard, Sébastien;Cioppa, Anthony;Halin, Anaïs;Vandeghen, Renaud;Macq, Benoît;et.al.
(2023) The European AI Week — Location: Brussels, Belgium (27.March.2023)

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Authors
  • Pierard, Sébastien
    Author
  • Cioppa, Anthony
    Author
  • Halin, Anaïs
    Author
  • Vandeghen, Renaud
    Author
  • Author
  • Macq, Benoîtorcid-logoUCLouvain
    Author
  • et. al.
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Abstract
Posteriors are relative to a domain.• Source: domains for which it is possible to have data to train ML/AI models.• Target: domains in which the models are used, usually unknown in advance.• Domains are a cornerstone to interpret the posteriors and make the right decisions!
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Citations

Pierard, S., Cioppa, A., Halin, A., Vandeghen, R., Zanella, M., Macq, B., & et al. (2023). Pushing AI out of the lab with on-the-fly mixture domain adaptation. The European AI Week, Brussels, Belgium. https://hdl.handle.net/2078.5/267826