Heterogeneous Domain Adaptation with Deep Adversarial Representation Learning: Experiments on E-Commerce and Cybersecurity" Mohammadreza (Reza) Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen. Under review in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
The MMD calculation as well as the learning rate scheduler for gradient descent is conducted based on (Long et al., 2018), available at github.com/thuml/xlearn.
Ebrahimi, M., Chai, Y., Zhang, H.H. and Chen, H., Forthcoming. Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Long, M., Cao, Y., Cao, Z., Wang, J. and Jordan, M.I., 2018. Transferable representation learning with deep adaptation networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(12), pp.3071-3085.
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