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Found 2 papers, 1 papers with code
When Meta-Learning Meets Online and Continual Learning: A Survey
Over the past decade, deep neural networks have demonstrated significant success using the training scheme that involves mini-batch stochastic gradient descent on extensive datasets.
Recasting Continual Learning as Sequence Modeling
That is, we propose to formulate continual learning as a sequence modeling problem, allowing advanced sequence models to be utilized for continual learning.
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