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"

19 / 19 papers shown

Title
Number Systems for Deep Neural Network Architectures: A Survey Ghada Alsuhli Vasileios Sakellariou H. Saleh Mahmoud Al-Qutayri Baker Mohammad T. Stouraitis 56 3 0 11 Jul 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 87 13 0 16 Feb 2023
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 50 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 George A. Constantinides MQ 97 26 0 08 Feb 2021
The Effects of Approximate Multiplication on Convolutional Neural Networks Min Soo Kim A. D. Del Barrio Hyunjin Kim N. Bagherzadeh 41 47 0 20 Jul 2020
Quantization of Deep Neural Networks for Accumulator-constrained Processors B. Bruin Z. Zivkovic Henk Corporaal MQ 20 21 0 24 Apr 2020
CloudifierNet -- Deep Vision Models for Artificial Image Processing A. Damian Laurentiu Piciu Alexandru Purdila N. Tapus VLM 24 0 0 04 Nov 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann MQ 104 75 0 24 Oct 2019
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Kartikeya Bhardwaj Guihong Li R. Marculescu 58 1 0 02 Oct 2019
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT Kartikeya Bhardwaj Chingyi Lin A. L. Sartor R. Marculescu GNN 60 54 0 26 Jul 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 48 28 0 29 Jan 2019
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 84 14 0 14 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance Zechun Liu Wenhan Luo Baoyuan Wu Xin Yang Wen Liu K. Cheng MQ 67 95 0 04 Nov 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 103 132 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 Wen Liu K. Cheng MQ 112 557 0 01 Aug 2018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs Liangzhen Lai Naveen Suda Vikas Chandra 92 381 0 19 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks Ido Freeman L. Roese-Koerner A. Kummert 116 100 0 19 Jan 2018
Hello Edge: Keyword Spotting on Microcontrollers Yundong Zhang Naveen Suda Liangzhen Lai Vikas Chandra 106 438 0 20 Nov 2017
The High-Dimensional Geometry of Binary Neural Networks Alexander G. Anderson C. P. Berg MQ 88 76 0 19 May 2017