Quantization for Rapid Deployment of Deep Neural Networks

Quantization for Rapid Deployment of Deep Neural Networks

12 October 2018

Papers citing "Quantization for Rapid Deployment of Deep Neural Networks"

11 / 11 papers shown

Title
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 34 0 0 01 Nov 2024
Quantizing YOLOv7: A Comprehensive Study Mohammadamin Baghbanbashi Mohsen Raji B. Ghavami MQ 27 8 0 06 Jul 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 32 3 0 25 Mar 2024
PD-Quant: Post-Training Quantization based on Prediction Difference Metric Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 96 68 0 14 Dec 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization Sein Park Yeongsang Jang Eunhyeok Park MQ 14 1 0 31 Jul 2022
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment Jemin Lee Misun Yu Yongin Kwon Teaho Kim MQ 14 17 0 10 Feb 2022
Post-training Quantization for Neural Networks with Provable Guarantees Jinjie Zhang Yixuan Zhou Rayan Saab MQ 6 31 0 26 Jan 2022
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 25 67 0 08 Feb 2021
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs H. T. Kung Bradley McDanel S. Zhang MQ 6 9 0 13 Jul 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
Loss Aware Post-training Quantization Yury Nahshan Brian Chmiel Chaim Baskin Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 9 163 0 17 Nov 2019