Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data

Visualizing Data using t-SNE

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Generative Adversarial Networks

arXiv (Cornell University) · 2014 · 4.6K citations · Full text

Computing, Computer Science, Computer Graphics +10

Deep Domain Confusion: Maximizing for Domain Invariance

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Computing, Computer Science, Computer Vision +12

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Computing, Computer Science, Artificial Intelligence +16

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

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