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 / 290 papers shown

Title
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 13 23 0 08 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 17 21 0 04 Aug 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 38 471 0 20 Jul 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization Haibao Yu Qi Han Jianbo Li Jianping Shi Guangliang Cheng Bin Fan MQ 13 61 0 20 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 13 10 0 14 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 31 27 0 13 Jul 2020
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs A. Rajagopal D. A. Vink Stylianos I. Venieris C. Bouganis MQ 16 14 0 16 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy Tianzhe Wang Kuan-Chieh Jackson Wang Han Cai Ji Lin Zhijian Liu Song Han MQ 25 174 0 15 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 21 175 0 15 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 18 122 0 14 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 42 98 0 05 Jun 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks Alexander Shekhovtsov V. Yanush B. Flach MQ 26 10 0 04 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 37 8 0 31 May 2020
Cross-filter compression for CNN inference acceleration Fuyuan Lyu Shien Zhu Weichen Liu MQ 12 0 0 18 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu Zhe Xu Runbin Shi R. Cheung Hayden Kwok-Hay So 9 119 0 14 May 2020
GeneCAI: Genetic Evolution for Acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 29 9 0 08 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 34 457 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 18 154 0 30 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 9 226 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 8 92 0 24 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 6 7 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 21 64 0 23 Mar 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 100 0 24 Feb 2020
Learning Architectures for Binary Networks Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 19 44 0 17 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 11 482 0 12 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? Joseph Bethge Christian Bartz Haojin Yang Ying Chen Christoph Meinel MQ 20 91 0 16 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 12 32 0 09 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 72 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 11 118 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 27 389 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 16 194 0 31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection Tianshu Chu Qin Luo Jie-jin Yang Xiaolin Huang MQ 16 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 25 151 0 29 Dec 2019
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 11 42 0 21 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 25 53 0 18 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 16 63 0 28 Nov 2019
Quantization Networks Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua MQ 20 338 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 19 104 0 19 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 24 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
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 6 31 0 05 Nov 2019
Fully Quantized Transformer for Machine Translation Gabriele Prato Ella Charlaix Mehdi Rezagholizadeh MQ 13 68 0 17 Oct 2019
QPyTorch: A Low-Precision Arithmetic Simulation Framework Tianyi Zhang Zhiqiu Lin Guandao Yang Christopher De Sa MQ 13 64 0 09 Oct 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 19 43 0 07 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 13 200 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 19 18 0 27 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 11 54 0 25 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 20 17 0 22 Sep 2019
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks Shubham Jain S. Gupta A. Raghunathan MQ 22 37 0 15 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling A. Mohammad C. Masouros Y. Andreopoulos 11 28 0 12 Sep 2019