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Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations


Feb 17, 2020
Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang

* Published as a conference paper at ICLR 2020 

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Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators


Oct 13, 2019
Ritchie Zhao, Christopher De Sa, Zhiru Zhang

* Preprint, work in progress. 8 pages 

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Improving Neural Network Quantization without Retraining using Outlier Channel Splitting


Jan 30, 2019
Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

* 10 pages; fixed incorrect title in metadata 

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Improving Neural Network Quantization using Outlier Channel Splitting


Jan 28, 2019
Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

* 10 pages 

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Building Efficient Deep Neural Networks with Unitary Group Convolutions


Nov 19, 2018
Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

* 8 pages, 2 figures 

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Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration


Jul 15, 2017
Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani Srivastava, Zhuowen Tu, Rajesh K. Gupta

* 9 pages, 6 figures, accepted for Embedded Vision Workshop (CVPRW) 

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