Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
J. Lee, R. Rossi, und X. Kong. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Seite 1666--1674. ACM, (2018)
J. Kanter, und K. Veeramachaneni. Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, Seite 1--10. IEEE, (2015)
J. Wehrmann, R. Cerri, und R. Barros. Proceedings of the 35th International Conference on Machine Learning, Volume 80 von Proceedings of Machine Learning Research, Seite 5075--5084. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)
Y. Burda, H. Edwards, D. Pathak, A. Storkey, T. Darrell, und A. Efros. (2018)cite arxiv:1808.04355Comment: First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/.
D. Lamprecht, D. Dimitrov, D. Helic, und M. Strohmaier. Proceedings of the 12th International Symposium on Open Collaboration, Seite 17:1--17:10. New York, NY, USA, ACM, (2016)
A. Paranjape, R. West, L. Zia, und J. Leskovec. Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, Seite 615--624. ACM, (2016)