Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
作者： Gunnar Rätsch , Bernhard Schölkopf , Olivier Bachem , Sylvain Gelly , Mario Lucic
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摘要: The key idea behind the unsupervised learning of disentangled representations is that real-world data is generated by a few explanatory factors of variation which can be recovered by …
参考文章(1)
Francis R Bach, Michael I Jordan, Kernel independent component analysis Journal of machine learning research. ,vol. 3, pp. 1- 48 ,(2002)