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pro vyhledávání: '"Leban, Andrej"'
This paper proposes a methodology for discovering meaningful properties in data by exploring the latent space of unsupervised deep generative models. We combine manipulation of individual latent variables to extreme values with methods inspired by ca
Externí odkaz:
http://arxiv.org/abs/2303.10931
Autor:
Miccheli, Marco, Leban, Andrej, Tacchella, Andrea, Zaccaria, Andrea, Mazzilli, Dario, Bratières, Sébastien
Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation, and for finding an agreement between translation providers and their
Externí odkaz:
http://arxiv.org/abs/2203.07135