Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

10 February 2017

Papers citing "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

50 / 464 papers shown

Title
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets Thu Dinh Bao Wang Andrea L. Bertozzi Stanley J. Osher AAML 6 16 0 02 Mar 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 12 38 0 28 Feb 2020
Quantized Neural Network Inference with Precision Batching Maximilian Lam Zachary Yedidia Colby R. Banbury Vijay Janapa Reddi MQ 28 1 0 26 Feb 2020
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization Lukas Enderich Fabian Timm Wolfram Burgard MQ 14 6 0 19 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 24 482 0 12 Feb 2020
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization Milovs Nikolić G. B. Hacene Ciaran Bannon Alberto Delmas Lascorz Matthieu Courbariaux Yoshua Bengio Vincent Gripon Andreas Moshovos MQ 14 24 0 08 Feb 2020
Switchable Precision Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 20 20 0 07 Feb 2020
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks Sungho Shin Yoonho Boo Wonyong Sung MQ 17 3 0 02 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 12 144 0 31 Jan 2020
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks Souvik Kundu M. Nazemi Massoud Pedram K. Chugg P. Beerel CVBM 12 36 0 29 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 28 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 73 0 07 Jan 2020
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks Lukas Cavigelli Luca Benini MQ 21 9 0 04 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 118 0 04 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 30 389 0 01 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian X. Lin Yanzhi Wang Bin Ren MQ 18 226 0 01 Jan 2020
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 27 150 0 29 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 33 53 0 18 Dec 2019
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis Soroosh Khoram J. Li 8 1 0 18 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 22 21 0 13 Dec 2019
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation Shaokai Ye Kailu Wu Mu Zhou Yunfei Yang S. Tan Kaidi Xu Jiebo Song Chenglong Bao Kaisheng Ma 27 20 0 28 Nov 2019
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs Chunlei Liu Wenrui Ding Yuan Hu Baochang Zhang Jianzhuang Liu G. Guo BDL MQ 13 5 0 25 Nov 2019
SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors Zhangxiaowen Gong Houxiang Ji Christopher W. Fletcher C. Hughes Josep Torrellas 17 5 0 22 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 25 338 0 21 Nov 2019
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs Luca Mocerino A. Calimera MQ 8 9 0 19 Nov 2019
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks Ao Ren Tao Zhang Yuhao Wang Sheng Lin Peiyan Dong Yen-kuang Chen Yuan Xie Yanzhi Wang 12 11 0 19 Nov 2019
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection Hongxing Gao Wei Tao Dongchao Wen Junjie Liu Tse-Wei Chen Kinya Osa Masami Kato CVBM 19 5 0 13 Nov 2019
Iteratively Training Look-Up Tables for Network Quantization Fabien Cardinaux Stefan Uhlich K. Yoshiyama Javier Alonso García Lukas Mauch Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 16 0 12 Nov 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 26 274 0 10 Nov 2019
Bipolar Morphological Neural Networks: Convolution Without Multiplication E. Limonova D. Matveev D. Nikolaev V. Arlazarov 14 12 0 05 Nov 2019
On Distributed Quantization for Classification Osama A. Hanna Yahya H. Ezzeldin Tara Sadjadpour Christina Fragouli Suhas Diggavi MQ 14 14 0 01 Nov 2019
Training DNN IoT Applications for Deployment On Analog NVM Crossbars F. García-Redondo Shidhartha Das G. Rosendale 19 5 0 30 Oct 2019
Neural Network Training with Approximate Logarithmic Computations Arnab Sanyal P. Beerel K. Chugg 27 11 0 22 Oct 2019
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs Yiren Zhao Xitong Gao Xuan Guo Junyi Liu Erwei Wang Robert D. Mullins P. Cheung G. Constantinides Chengzhong Xu MQ 19 31 0 21 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 25 43 0 07 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 28 12 0 02 Oct 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 23 254 0 28 Sep 2019
Optimizing Speech Recognition For The Edge Yuan Shangguan Jian Li Qiao Liang R. Álvarez Ian McGraw 20 64 0 26 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 19 54 0 25 Sep 2019
A System-Level Solution for Low-Power Object Detection Fanrong Li Zitao Mo Peisong Wang Zejian Liu Jiayun Zhang ... Qinghao Hu Xiangyu He Cong Leng Yang Zhang Jian Cheng ObjD 6 7 0 24 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 16 246 0 18 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 40 15 0 03 Sep 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators Lukas Cavigelli Georg Rutishauser Luca Benini MQ 6 34 0 30 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 14 11 0 23 Aug 2019
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs Chunlei Liu Wenrui Ding Xin Xia Yuan Hu Baochang Zhang Jianzhuang Liu Bohan Zhuang G. Guo MQ 11 25 0 21 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 21 446 0 14 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li Aojun Zhou Anbang Yao 21 39 0 11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 26 44 0 10 Aug 2019