Unsupervised Neural Generative Semantic Hashing

@article{Hansen2019UnsupervisedNG,
  title={Unsupervised Neural Generative Semantic Hashing},
  author={Casper Hansen and Christian Hansen and J. Simonsen and Stephen Alstrup and C. Lioma},
  journal={Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2019}
}
  • Casper Hansen, Christian Hansen, +2 authors C. Lioma
  • Published 2019
  • Computer Science
  • Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Fast similarity search is a key component in large-scale information retrieval, where semantic hashing has become a popular strategy for representing documents as binary hash codes. [...] Key Method Similarly to variational autoencoders, the variational component is trained to reconstruct the original document conditioned on its generated hash code, and as in prior work, it only considers documents individually.Expand Abstract
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