Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
arXiv: Learning, Volume abs/1705.09684, 2017.
While domain adaptation has been actively researched in recent years, most theoretical results and algorithms focus on the single-source-single-target adaptation setting. Naive application of such algorithms on multiple source domain adaptation problem may lead to suboptimal solutions. As a step toward bridging the gap, we propose a new g...More
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