A continual learning system combining triplet loss, VAE-generated pseudo-replay, and knowledge distillation is reported to reduce forgetting on medical image datasets, though key loss terms are described inconsistently.
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Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
A continual learning system combining triplet loss, VAE-generated pseudo-replay, and knowledge distillation is reported to reduce forgetting on medical image datasets, though key loss terms are described inconsistently.