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Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers
Catastrophic forgetting remains a key challenge in Continual Learning (CL). In replay-based CL with severe memory constraints, performance critically depends on the sample selection strategy for the replay buffer. Most existing approaches construct memory buffers using embeddings learned under super
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