Unsupervised Domain-adaptive Hash for Networks. (arXiv:2108.09136v2 [cs.LG] UPDATED)

Abundant real-world data can be naturally represented by large-scale
networks, which demands efficient and effective learning algorithms. At the
same time, labels may only be available for some networks, which demands these
algorithms to be able to adapt to unlabeled networks. Domain-adaptive hash
learning has enjoyed considerable success in the computer vision community in
many practical tasks due to its lower cost in both retrieval time and storage
footprint. However, it has not been applied to multiple-domain networks. In
this …

arxiv hash networks unsupervised