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1602.07868
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Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
25 February 2016
Tim Salimans
Diederik P. Kingma
ODL
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Papers citing
"Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"
50 / 957 papers shown
Title
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Batch-normalized Recurrent Highway Networks
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Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
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Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
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Wide Activation for Efficient and Accurate Image Super-Resolution
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Importance mixing: Improving sample reuse in evolutionary policy search methods
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Question-Guided Hybrid Convolution for Visual Question Answering
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Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
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11
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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
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Theory IIIb: Generalization in Deep Networks
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Xavier Boix
Jack Hidary
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27
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High Diversity Attribute Guided Face Generation with GANs
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21
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Differentiable Learning-to-Normalize via Switchable Normalization
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Ruimao Zhang
Jingyu Li
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Tensor Monte Carlo: particle methods for the GPU era
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Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
12
3
0
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