Distributed Evolution of Deep Autoencoders

16 Apr 2020 Jeff Hajewski Suely Oliveira Xiaoyu Xing

Autoencoders have seen wide success in domains ranging from feature selection to information retrieval. Despite this success, designing an autoencoder for a given task remains a challenging undertaking due to the lack of firm intuition on how the backing neural network architectures of the encoder and decoder impact the overall performance of the autoencoder... (read more)

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