Scaling Binarized Neural Networks on Reconfigurable Logic

12 January 2017

Papers citing "Scaling Binarized Neural Networks on Reconfigurable Logic"

9 / 9 papers shown

Title
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020
Unrolling Ternary Neural Networks Stephen Tridgell M. Kumm M. Hardieck David Boland Duncan J. M. Moss P. Zipf Philip H. W. Leong 21 26 0 09 Sep 2019
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 30 93 0 31 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 27 133 0 01 Jul 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 24 147 0 26 May 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 13 184 0 15 Mar 2018
Deep Reservoir Computing Using Cellular Automata Stefano Nichele Andreas Molund 14 27 0 08 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 24 34 0 27 Feb 2017