Latent Space Translation via Semantic Alignment

• Published in: arXiv.org
• Main Authors: Maiorca, Valentino, Moschella, Luca, Norelli, Antonio, Fumero, Marco, Locatello, Francesco, Rodolà, Emanuele
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 11.02.2024
• Subjects: Classification; Coders; Decoders; Stitching; Transformations (mathematics)

While different neural models often exhibit latent spaces that are alike when exposed to semantically related data, this intrinsic similarity is not always immediately discernible. Towards a better understanding of this phenomenon, our work shows how representations learned from these neural modules...