arXiv (OAI Expanded)
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Unsupervised Continual Learning with Growing Self-Organizing Maps and Synthetic Replay
This work presents a generative continual learning framework based on growing self-organizing maps (GSOMs) that are augmented with learned distributional statistics as well as encoder-decoder models for class-incremental learning. The proposed approach enables exemplar-free replay using distribution
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