Gradient based sample selection for online continual learningEI

    Min Lin
    Min Lin
    Baptiste Goujaud
    Baptiste Goujaud
    Click here to see all papers in nips2019
    Cited by: 1|Bibtex|49|

    NeurIPS, pp. 11816-11825, 2019.

    Keywords:
    neural networks

    Abstract:

    A continual learning agent learns online with a non-stationary and never-ending stream of data. The key to such learning process is to overcome the catastrophic forgetting of previously seen data, which is a well known problem of neural networks. To prevent forgetting, a replay buffer is usually employed to store the previous data for the...More
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