A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao 1 * Jiayi Shen 1 * Xiantong Zhen 1 2 Ling Shao 2 Cees G. M. Snoek 1
Abstract Li et al., 2018a) or specific architectures (Li et al., 2017;
Domain generalization is challenging due to the D’Innocente & Caputo, 2018). The state-of-the-art relies
domain shift and the uncertainty caused by the on advanced deep neural network backbones, known to de-
inaccessibilit ...


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