(2016), who showed that the test accuracy often falls if one holds the learning rate constant and increases the batch size, even if one continues training until the
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[PDF] Control Batch Size and Learning Rate to Generalize Well - NeurIPS
This paper reports both theoretical and empirical evidence of a training strategy that we should control the ratio of batch size to learning rate not too large to
[PDF] Which Algorithmic Choices Matter at Which Batch Sizes? - NIPS
Increasing the batch size is a popular way to speed up neural network training, optimal learning rates and large batch training, making it a useful tool to
[PDF] Training ImageNet in 1 Hour - Facebook Research
be large, which implies nontrivial growth in the SGD mini- batch size In this paper batch ∪jBj of size kn and learning rate ˆη yields: ˆwt+1 = wt − ˆη 1 kn ∑
[PDF] CROSSBOW: Scaling Deep Learning with Small Batch Sizes on
To fully utilise all GPUs, systems must increase the batch size, which hinders statistical efficiency Users tune hyper-parameters such as the learning rate to
[PDF] On the Generalization Benefit of Noise in Stochastic Gradient Descent
However, unlike our previous experiments, we notice that the optimal learning rate increases as square root of the batch size for small batch sizes, before leveling
[PDF] On the Generalization Benefit of Noise in Stochastic Gradient Descent
(2016), who showed that the test accuracy often falls if one holds the learning rate constant and increases the batch size, even if one continues training until the
[PDF] Why Does Large Batch Training Result in Poor - HUSCAP
that gradually increases batch size during training We also explain learning rate during training can be useful for accelerating the training In this work, we
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