Bilevel Online Deep Learning in Non-stationary Environment. (arXiv:2201.10236v1 [cs.LG])

Recent years have witnessed enormous progress of online learning. However, a
major challenge on the road to artificial agents is concept drift, that is, the
data probability distribution would change where the data instance arrives
sequentially in a stream fashion, which would lead to catastrophic forgetting
and degrade the performance of the model. In this paper, we proposed a new
Bilevel Online Deep Learning (BODL) framework, which combine bilevel
optimization strategy and online ensemble classifier. In BODL algorithm, we use …

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