https://www.selleckchem.com/pr....oducts/Sapogenins-gl
Adversarial domain adaptation has been an effective approach for learning domain-invariant features by adversarial training. In this paper, we propose a novel adversarial domain adaptation approach defined in the spherical feature space, in which we define spherical classifier for label prediction and spherical domain discriminator for discriminating domain labels. In the spherical feature space, we develop a robust pseudo-label loss to utilize pseudo-labels robustly, which weights the importance of the estimated labels of
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