Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
A. Paranjape, R. West, L. Zia, and J. Leskovec. Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, page 615--624. ACM, (2016)
R. Dror, G. Baumer, S. Shlomov, and R. Reichart. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1, page 1383--1392. (2018)
R. Rehurek, and P. Sojka. Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, page 45--50. Valletta, Malta, ELRA, (May 22, 2010)