Continual Learning with Gated Incremental Memories for sequential data processing

IJCNN, pp. 1-8, 2020.

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Abstract:

The ability to learn in dynamic, nonstationary environments without forgetting previous knowledge, also known as Continual Learning (CL), is a key enabler for scalable and trustworthy deployments of adaptive solutions. While the importance of continual learning is largely acknowledged in machine vision and reinforcement learning problem...More

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