
Sparse Memory Layers: Targeted Continual Learning Without Forgetting
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Use sparse memory layers and TF-IDF–guided slot updates to learn continually without forgetting.
The phenomenon where neural networks lose previously learned knowledge when trained on new data, a fundamental challenge in continual and lifelong learning systems.

Use sparse memory layers and TF-IDF–guided slot updates to learn continually without forgetting.