30 citations · 88 across the 30 of their papers we have counts for
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cs.LG2020
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks
Tiancheng Huang, Ke Xu, Donglin Wang
Domain adaptation using graph-structured networks learns label-discriminative and network-invariant node embeddings by sharing graph parameters. Most existing works focus on domain…
cs.CV2020★ 1 cited
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
Siteng Huang, Min Zhang, Yachen Kang +1
The purpose of few-shot recognition is to recognize novel categories with a limited number of labeled examples in each class. To encourage learning from a supplementary view, recen…