Web: http://arxiv.org/abs/2201.12604

May 11, 2022, 1:12 a.m. | Elahe Arani, Fahad Sarfraz, Bahram Zonooz

cs.LG updates on arXiv.org arxiv.org

Humans excel at continually learning from an ever-changing environment
whereas it remains a challenge for deep neural networks which exhibit
catastrophic forgetting. The complementary learning system (CLS) theory
suggests that the interplay between rapid instance-based learning and slow
structured learning in the brain is crucial for accumulating and retaining
knowledge. Here, we propose CLS-ER, a novel dual memory experience replay (ER)
method which maintains short-term and long-term semantic memories that interact
with the episodic memory. Our method employs an effective …

arxiv continual general learning on

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