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SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks

Jul 01, 2018
Julian Faraone, Nicholas Fraser, Michaela Blott, Philip H. W. Leong

* Published as a conference paper at the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 

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Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic

Jun 26, 2018
Michaela Blott, Thomas B. Preusser, Nicholas Fraser, Giulio Gambardella, Kenneth OBrien, Yaman Umuroglu, Miriam Leeser

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Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices

Jun 21, 2018
Thomas B. Preußer, Giulio Gambardella, Nicholas Fraser, Michaela Blott

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Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines

May 21, 2018
Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu

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Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks

Oct 10, 2017
Julian Faraone, Nicholas Fraser, Giulio Gambardella, Michaela Blott, Philip H. W. Leong

* To appear as a conference paper at the 24th International Conference On Neural Information Processing (ICONIP 2017) 

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