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pro vyhledávání: '"Brack, Silas"'
We propose the first Bayesian encoder for metric learning. Rather than relying on neural amortization as done in prior works, we learn a distribution over the network weights with the Laplace Approximation. We actualize this by first proving that the
Externí odkaz:
http://arxiv.org/abs/2302.01332
