Nicholas Fraser

Identifiers

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Papers (6)

1. FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks cs.AR · 2018 · author #3
2. SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks cs.CV · 2018 · author #2
3. Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic cs.CV · 2018 · author #3
4. Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices cs.NE · 2018 · author #3
5. Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines cs.LG · 2018 · author #6
6. Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks cs.CV · 2017 · author #2

Mentions

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Frequent Coauthors

• Michaela Blott 5 shared papers
• Giulio Gambardella 4 shared papers
• Julian Faraone 2 shared papers
• Philip H.W. Leong 2 shared papers
• Yaman Umuroglu 2 shared papers
• Aaron Ng 1 shared papers
• Ashish Sirasao 1 shared papers
• Elliott Delaye 1 shared papers
• Kenneth O'Brien 1 shared papers
• Kenneth OBrien 1 shared papers
• Manasa Bollavaram 1 shared papers
• Michael Wu 1 shared papers
• Miriam Leeser 1 shared papers
• Oscar Fernandez 1 shared papers
• Paolo D'Alberto 1 shared papers
• Sean O. Settle 1 shared papers
• Thomas B. Preu{\ss}er 1 shared papers
• Thomas B. Preusser 1 shared papers
• Thomas Preusser 1 shared papers