Discovering Low-Precision Networks Close to Full-Precision Networks for
Efficient Embedded Inference

Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference

11 September 2018

Deepika Bablani

Izzet B. Yildiz

Papers citing "Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference"

19 / 19 papers shown

Title
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization Chong Yu Tao Chen Zhongxue Gan Jiayuan Fan MQ ViT 30 23 0 18 May 2023
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom Alexander Finkelstein Ella Fuchs Idan Tal Mark Grobman Niv Vosco Eldad Meller MQ 29 6 0 05 Dec 2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models Xiuying Wei Yunchen Zhang Xiangguo Zhang Ruihao Gong Shanghang Zhang Qi Zhang F. Yu Xianglong Liu MQ 36 145 0 27 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 25 11 0 11 Aug 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
Quantization-Guided Training for Compact TinyML Models Sedigh Ghamari Koray Ozcan Thu Dinh A. Melnikov Juan Carvajal Jan Ernst S. Chai MQ 21 16 0 10 Mar 2021
Dynamic Precision Analog Computing for Neural Networks Sahaj Garg Joe Lou Anirudh Jain Mitchell Nahmias 45 33 0 12 Feb 2021
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference Steve Dai Rangharajan Venkatesan Haoxing Ren B. Zimmer W. Dally Brucek Khailany MQ 27 67 0 08 Feb 2021
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 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 35 150 0 29 Dec 2019
Training DNN IoT Applications for Deployment On Analog NVM Crossbars F. García-Redondo Shidhartha Das G. Rosendale 19 5 0 30 Oct 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 32 446 0 14 Aug 2019
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Mohammad Bavandpour Shubham Sahay M. Mahmoodi D. Strukov 16 29 0 07 Aug 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 21 97 0 15 Feb 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization Eldad Meller Alexander Finkelstein Uri Almog Mark Grobman MQ 21 85 0 05 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 38 305 0 28 Jan 2019
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks Charbel Sakr Naigang Wang Chia-Yu Chen Jungwook Choi A. Agrawal Naresh R Shanbhag K. Gopalakrishnan MQ 22 34 0 19 Jan 2019
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 19 93 0 02 Oct 2018
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