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cs.LG2019★ 17 cited
Unsupervised Domain Adaptation via Calibrating Uncertainties
Ligong Han, Yang Zou, Ruijiang Gao +2
Unsupervised domain adaptation (UDA) aims at inferring class labels for unlabeled target domain given a related labeled source dataset. Intuitively, a model trained on source domai…
cs.LG2015
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri, Yang Zou, Gustavo K. Rohde
Optimal transport distances, otherwise known as Wasserstein distances, have recently drawn ample attention in computer vision and machine learning as a powerful discrepancy measure…