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09/23/2020
Pruning Convolutional Filters using Batch Bridgeout
State-of-the-art computer vision models are rapidly increasing in capaci...
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04/17/2019
Sparseout: Controlling Sparsity in Deep Networks
Dropout is commonly used to help reduce overfitting in deep neural netwo...
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05/28/2018
A parallel implementation of the covariance matrix adaptation evolution strategy
In many practical optimization problems, the derivatives of the function...
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04/21/2018
Bridgeout: stochastic bridge regularization for deep neural networks
A major challenge in training deep neural networks is overfitting, i.e. ...
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