A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks

Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira. A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. In Jennifer G. Dy, Andreas Krause 0001, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Volume 80 of JMLR Workshop and Conference Proceedings, pages 3885-3894, JMLR.org, 2018. [doi]

Abstract

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