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Transfer learning has been successfully applied across many high-impact applications.
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Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation
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Learning what and where to transfer
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Support and invertibility in domain-invariant representations
Fredrik D Johansson, Rajesh Ranganath, and David Sontag · 2019
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Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan · 2017
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Conditional adversarial domain adaptation
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Continual lifelong learning with neural networks: A review
German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan, and Stefan Wermter · 2019
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Characterizing and avoiding negative transfer
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Domain adaptation with asymmetrically-relaxed distribution alignment
Yifan Wu, Ezra Winston, Divyansh Kaushik, and Zachary Lipton · 2019
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Bridging theory and algorithm for domain adaptation
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Han Zhao, Remi Tachet des Combes, Kun Zhang, and Geoffrey J Gordon · 2019
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