Incremental training of multi-generative adversarial networks

ICLR 2019 Qi TanPingzhong TangKe XuWeiran ShenSong Zuo

Generative neural networks map a standard, possibly distribution to a complex high-dimensional distribution, which represents the real world data set. However, a determinate input distribution as well as a specific architecture of neural networks may impose limitations on capturing the diversity in the high dimensional target space... (read more)

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