213 citations · 491 across the 20 of their papers we have counts for
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stat.ML2017★ 98 cited
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
Werner Zellinger, Bernhard A. Moser, Thomas Grubinger +3
A novel approach for unsupervised domain adaptation for neural networks is proposed. It relies on metric-based regularization of the learning process. The metric-based regularizati…
stat.ML2017★ 213 cited
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger, Thomas Grubinger, Edwin Lughofer +2
The learning of domain-invariant representations in the context of domain adaptation with neural networks is considered. We propose a new regularization method that minimizes the d…