Online Deep Learning based on Auto-Encoder. (arXiv:2201.07383v1 [cs.LG])

Online learning is an important technical means for sketching massive
real-time and high-speed data. Although this direction has attracted intensive
attention, most of the literature in this area ignore the following three
issues: (1) they think little of the underlying abstract hierarchical latent
information existing in examples, even if extracting these abstract
hierarchical latent representations is useful to better predict the class
labels of examples; (2) the idea of preassigned model on unseen datapoints is
not suitable for modeling streaming …

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