Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

8 March 2017

Papers citing "Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations"

8 / 8 papers shown

Title
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification M. Tolba H. Tesfai H. Saleh B. Mohammad Mahmoud Al-Qutayri 16 4 0 28 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 22 14 0 14 Apr 2021
Enabling Binary Neural Network Training on the Edge Erwei Wang James J. Davis Daniele Moro Piotr Zielinski Jia Jie Lim C. Coelho S. Chatterjee P. Cheung G. Constantinides MQ 20 24 0 08 Feb 2021
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Kartikeya Bhardwaj Guihong Li R. Marculescu 30 1 0 02 Oct 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 11 27 0 29 Jan 2019
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 27 14 0 14 Nov 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 27 131 0 03 Oct 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang W. Liu K. Cheng MQ 25 550 0 01 Aug 2018