Overcoming Catastrophic Forgetting via Model Adaptation

Learning multiple tasks sequentially is important for the development of AI and lifelong learning systems. However, standard neural network architectures suffer from catastrophic forgetting which makes it difficult to learn a sequence of tasks... (read more)

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