Towards Unified INT8 Training for Convolutional Neural Network

29 December 2019

Xianglong Liu

Papers citing "Towards Unified INT8 Training for Convolutional Neural Network"

23 / 73 papers shown

Title
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques JunKyu Lee L. Mukhanov A. S. Molahosseini U. Minhas Yang Hua Jesus Martinez del Rincon K. Dichev Cheol-Ho Hong Hans Vandierendonck 41 29 0 30 Dec 2021
Training Quantized Deep Neural Networks via Cooperative Coevolution Fu Peng Shengcai Liu Ning Lu Ke Tang MQ 26 1 0 23 Dec 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization Yelysei Bondarenko Markus Nagel Tijmen Blankevoort MQ 25 133 0 27 Sep 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 25 84 0 25 Sep 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 33 0 0 04 Jul 2021
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update Jiawei Zhao Steve Dai Rangharajan Venkatesan Brian Zimmer Mustafa Ali Xuan Li Brucek Khailany B. Dally Anima Anandkumar MQ 39 13 0 26 Jun 2021
AirNet: Neural Network Transmission over the Air Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 68 1 0 24 May 2021
In-Hindsight Quantization Range Estimation for Quantized Training Marios Fournarakis Markus Nagel MQ 14 10 0 10 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables Grigor Gatchev V. Mollov VLM 8 0 0 04 Apr 2021
Zero-shot Adversarial Quantization Yuang Liu Wei Zhang Jun Wang MQ 11 77 0 29 Mar 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 56 94 0 01 Mar 2021
Distribution Adaptive INT8 Quantization for Training CNNs Kang Zhao Sida Huang Pan Pan Yinghan Li Yingya Zhang Zhenyu Gu Yinghui Xu MQ 22 62 0 09 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 674 0 24 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Y. Fu Haoran You Yang Katie Zhao Yue Wang Chaojian Li K. Gopalakrishnan Zhangyang Wang Yingyan Lin MQ 38 32 0 24 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 20 82 0 08 Dec 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks Jianfei Chen Yujie Gai Z. Yao Michael W. Mahoney Joseph E. Gonzalez MQ 12 58 0 27 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds Haotong Qin Zhongang Cai Mingyuan Zhang Yifu Ding Haiyu Zhao Shuai Yi Xianglong Liu Hao Su 3DPC 30 50 0 12 Oct 2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework Junjie Liu Dongchao Wen Deyu Wang Wei Tao Tse-Wei Chen Kinya Osa Masami Kato MQ 20 3 0 10 Sep 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 131 324 0 24 Sep 2019
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Yukuan Yang Shuang Wu Lei Deng Tianyi Yan Yuan Xie Guoqi Li MQ 99 110 0 05 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017