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most citedImproving Neural Network Quantization without Retraining using Outlier Channel Splitting

151 citations · 155 across the 2 of their papers we have counts for

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cs.LG2019★ 151 cited

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Ritchie Zhao, Yuwei Hu, Jordan Dotzel +2

Quantization can improve the execution latency and energy efficiency of neural networks on both commodity GPUs and specialized accelerators. The majority of existing literature foc…

cs.LG2018

Building Efficient Deep Neural Networks with Unitary Group Convolutions

Ritchie Zhao, Yuwei Hu, Jordan Dotzel +2

We propose unitary group convolutions (UGConvs), a building block for CNNs which compose a group convolution with unitary transforms in feature space to learn a richer set of repre…