54 citations · 111 across the 5 of their papers we have counts for
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cs.CV2017★ 39 cited
Associative Domain Adaptation
Philip Haeusser, Thomas Frerix, Alexander Mordvintsev +1
We propose associative domain adaptation, a novel technique for end-to-end domain adaptation with neural networks, the task of inferring class labels for an unlabeled target domain…
cs.CV2017★ 54 cited
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser, Alexander Mordvintsev, Daniel Cremers
In many real-world scenarios, labeled data for a specific machine learning task is costly to obtain. Semi-supervised training methods make use of abundantly available unlabeled dat…