A greedy submodular maximization method for mini-batch selection in DNN training yields better generalization than SGD on standard datasets.
Subset replay based continual learning for scalable improvement of autonomous systems
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Submodular Batch Selection for Training Deep Neural Networks
A greedy submodular maximization method for mini-batch selection in DNN training yields better generalization than SGD on standard datasets.