MERS improves replay buffer selection in continual learning by integrating supervised and self-supervised embeddings via a graph-based approach, outperforming single-embedding baselines on CIFAR-100 and TinyImageNet in low-memory regimes.
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Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers
MERS improves replay buffer selection in continual learning by integrating supervised and self-supervised embeddings via a graph-based approach, outperforming single-embedding baselines on CIFAR-100 and TinyImageNet in low-memory regimes.