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20192025
most citedAccelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex

9 citations · 18 across the 17 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization

Ziquan Liu, Yufei Cui, Jia Wan +2

Weight decay is often used to ensure good generalization in the training practice of deep neural networks with batch normalization (BN-DNNs), where some convolution layers are inva…

cs.LG2021

Variational Nested Dropout

Yufei Cui, Yu Mao, Ziquan Liu +5

Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training. It has been explored for:…