Fixed Point Quantization of Deep Convolutional Networks

19 November 2015

Papers citing "Fixed Point Quantization of Deep Convolutional Networks"

24 / 124 papers shown

Title
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 14 48 0 12 Oct 2018
Hierarchical binary CNNs for landmark localization with limited resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 23 36 0 14 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 29 231 0 13 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 30 135 0 20 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 25 51 0 28 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 30 147 0 26 May 2018
Low-Precision Floating-Point Schemes for Neural Network Training Marc Ortiz A. Cristal Eduard Ayguadé Marc Casas MQ 30 22 0 14 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models B. Rouhani Huili Chen F. Koushanfar 38 48 0 02 Apr 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks Franyell Silfa Gem Dot J. Arnau Antonio González 33 39 0 20 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 26 20 0 31 Oct 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 34 95 0 07 Jun 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps Alessandro Aimar Hesham Mostafa Enrico Calabrese A. Rios-Navarro Ricardo Tapiador-Morales ... Moritz B. Milde Federico Corradi A. Linares-Barranco Shih-Chii Liu T. Delbruck 82 242 0 05 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations Liangzhen Lai Naveen Suda Vikas Chandra MQ 33 85 0 08 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 24 190 0 02 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 26 34 0 27 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 36 502 0 03 Feb 2017
Towards the Limit of Network Quantization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 22 191 0 05 Dec 2016
Scalable Compression of Deep Neural Networks Xing Wang Jie Liang 16 4 0 26 Aug 2016
Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks D. Lin S. Talathi 26 45 0 08 Jul 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 29 127 0 20 May 2016
Computational Cost Reduction in Learned Transform Classifications E. Machado C. Miosso R. V. Borries Murilo Coutinho P. Berger Thiago Marques R. Jacobi 30 3 0 26 Apr 2015