NFL is a buffer-free continual learning framework that decomposes networks, applies stepwise freezing with knowledge distillation, and adds an auto-encoder in NFL+ to match replay-based performance on image benchmarks while using only 2.53% of the memory.
Exploring Example Influence in Continual Learning
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No Forgetting Learning: Buffer-free Continual Learning Classification
NFL is a buffer-free continual learning framework that decomposes networks, applies stepwise freezing with knowledge distillation, and adds an auto-encoder in NFL+ to match replay-based performance on image benchmarks while using only 2.53% of the memory.