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Found 2 papers, 1 papers with code
Unsupervised Progressive Learning and the STAM Architecture
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.
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies
We first pose the Unsupervised Continual Learning (UCL) problem: learning salient representations from a non-stationary stream of unlabeled data in which the number of object classes varies with time.
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