Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
S. Günnemann, I. Färber, and T. Seidl. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, page 132--140. New York, NY, USA, ACM, (2012)
D. Helic, C. Trattner, M. Strohmaier, and K. Andrews. Proceedings of the 2010 IEEE Second International Conference on Social Computing, page 161--168. Washington, DC, USA, IEEE Computer Society, (2010)