Latent Space Translation via Semantic Alignment
Latent Space Translation via Semantic Alignment
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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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 can be translated between different pre-trained n...
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Latent Space Translation via Semantic Alignment
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TN_cdi_proquest_journals_2885376386
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2885376386
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2331-8422