Publisher
Springer Nature Switzerland
Reference19 articles.
1. Kingma, D.P., Welling, M.: Auto-Encoding Variational Bayes. In: 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14–16, 2014, Conference Track Proceedings (2014)
2. Chaidaroon, S., Fang, Y.: Variational deep semantic hashing for text documents. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 75–84. SIGIR 2017. Association for Computing Machinery, New York, NY, USA (2017)
3. Shen, D., et al.: NASH: toward end-to-end neural architecture for generative semantic hashing. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2041–2050. Association for Computational Linguistics, Melbourne, Australia, July 2018
4. Chaidaroon, S., Ebesu, T., Fang, Y.: Deep semantic text hashing with weak supervision. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, pp. 1109–1112. Association for Computing Machinery, New York, NY, USA (2018)
5. Hansen, C., Hansen, C., Simonsen, J.G., Alstrup, S., Lioma, C.: Unsupervised semantic hashing with pairwise reconstruction. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, pp. 2009–2012. Association for Computing Machinery, New York, NY, USA (2020)