Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
University of Cambridge（剑桥大学）
英文摘要：
Memory replay may be key to learning in biological brains, which manage to learn new tasks continually without catastrophically interfering with previous knowledge. On the other hand, artificial neural networks suffer from catastrophic forgetting and tend to only perform well on tasks that they were recently trained on. In this work we explore the application of latent space based memory replay for classification using artificial neural networks. We are able to preserve good performance in previous tasks by storing only a small percentage of the original data in a compressed latent space version.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
