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We first pose the Unsupervised Progressive Learning (UPL) problem: an online representation learning problem in which the learner observes a non-stationary and unlabeled data stream, learning a growing number of features that persist over time even though the data is not stored or replayed.
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Lifelong learning of spatiotemporal representations with dual-memory recurrent self-organization
German I Parisi, Jun Tani, Cornelius Weber, and Stefan Wermter · 2018
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