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Ph.D., D.Sc. Przemysław Biecek
Faculty of Mathematics and Information Science
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Polyrepresentation learning for image or text models. AI systems use numerous approaches to train data representations. Often, however, a single approach is based on one selected perspective related to the loss function used to train the representation. When looking for fundamental models, it may be beneficial to combine perspectives into a broader representation - a polyrepresentation.
This line of research will focus on analyzing what representations provide complementary perspectives and how to build and analyze such perspectives. The ongoing research may concern one modality (text or image) or different modalities.

Information and Communication Technology