DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

20 June 2016

Shuchang Zhou

Papers citing "DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients"

50 / 444 papers shown

Title
GeneCAI: Genetic Evolution for Acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 45 9 0 08 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs Jun Chen Lu Liu Yong Liu Xianfang Zeng MQ 41 26 0 06 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 59 459 0 31 Mar 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 18 155 0 30 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 17 226 0 25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 15 92 0 24 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 21 7 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 0 23 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 21 20 0 17 Mar 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 64 64 0 09 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 47 174 0 07 Mar 2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks Sourjya Roy Priyadarshini Panda G. Srinivasan A. Raghunathan 3DPC VLM 37 19 0 05 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 76 55 0 04 Mar 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 27 67 0 03 Mar 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 102 0 24 Feb 2020
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision Xingchao Liu Mao Ye Dengyong Zhou Qiang Liu MQ 16 42 0 20 Feb 2020
Learning Architectures for Binary Networks Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 25 44 0 17 Feb 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim Kyungsu Kim Jinseok Kim Jae-Joon Kim MQ 27 47 0 16 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 29 486 0 12 Feb 2020
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation Yu-Tung Liu T. Chiueh MQ 23 1 0 23 Jan 2020
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning Yining Qi Zhihao Qu Song Guo Xin Gao Ruixuan Li Baoliu Ye FedML 18 9 0 22 Jan 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? Joseph Bethge Christian Bartz Haojin Yang Ying-Cong Chen Christoph Meinel MQ 25 91 0 16 Jan 2020
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks Léopold Cambier Anahita Bhiwandiwalla Ting Gong M. Nekuii Oguz H. Elibol Hanlin Tang MQ 23 48 0 16 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 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 34 47 0 07 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 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 19 119 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 43 389 0 01 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 29 194 0 31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie Yang Xiaolin Huang MQ 24 6 0 29 Dec 2019
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 40 151 0 29 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 27 42 0 21 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 36 53 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 30 21 0 13 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 29 64 0 28 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 36 339 0 21 Nov 2019
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 33 104 0 19 Nov 2019
Distributed Low Precision Training Without Mixed Precision Zehua Cheng Weiyan Wang Yan Pan Thomas Lukasiewicz MQ 18 5 0 18 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 48 275 0 10 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 24 32 0 05 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 33 141 0 02 Nov 2019
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 22 138 0 28 Oct 2019
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 21 41 0 22 Oct 2019
Fully Quantized Transformer for Machine Translation Gabriele Prato Ella Charlaix Mehdi Rezagholizadeh MQ 13 69 0 17 Oct 2019
QPyTorch: A Low-Precision Arithmetic Simulation Framework Tianyi Zhang Zhiqiu Lin Guandao Yang Christopher De Sa MQ 29 64 0 09 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 38 43 0 07 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 39 200 0 30 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 32 18 0 27 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019