Post-training Quantization with Multiple Points: Mixed Precision without
Mixed Precision

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

20 February 2020

Papers citing "Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision"

17 / 17 papers shown

Title
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation Shashikant Ilager Lukas Florian Briem Ivona Brandić 34 0 0 19 Jan 2025
Lightweight Deep Learning for Resource-Constrained Environments: A Survey Hou-I Liu Marco Galindo Hongxia Xie Lai-Kuan Wong Hong-Han Shuai Yung-Hui Li Wen-Huang Cheng 58 48 0 08 Apr 2024
A SAM-guided Two-stream Lightweight Model for Anomaly Detection Chenghao Li Lei Qi Xin Geng 40 4 0 29 Feb 2024
MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search Yichen Xie Wei Le MQ 24 4 0 29 Sep 2023
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization Clemens J. S. Schaefer Navid Lambert-Shirzad Xiaofan Zhang Chia-Wei Chou T. Jablin Jian Li Elfie Guo Caitlin Stanton S. Joshi Yu Emma Wang MQ 30 2 0 08 Jun 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 32 8 0 09 Mar 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang MQ 31 20 0 09 Feb 2023
Long-Range Zero-Shot Generative Deep Network Quantization Yan Luo Yangcheng Gao Zhao Zhang Haijun Zhang Mingliang Xu Meng Wang MQ 31 9 0 13 Nov 2022
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies Xingrun Xing Yangguang Li Wei Li Wenrui Ding Yalong Jiang Yufeng Wang Jinghua Shao Chunlei Liu Xianglong Liu MQ 11 8 0 03 Sep 2022
A Langevin-like Sampler for Discrete Distributions Ruqi Zhang Xingchao Liu Qiang Liu BDL 24 37 0 20 Jun 2022
Energy awareness in low precision neural networks Nurit Spingarn-Eliezer Ron Banner Elad Hoffer Hilla Ben-Yaacov T. Michaeli 38 0 0 06 Feb 2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 46 71 0 17 Nov 2021
Fine-grained Data Distribution Alignment for Post-Training Quantization Mingliang Xu Mingbao Lin Yonghong Tian Ke Li Yunhang Shen Rongrong Ji Yongjian Wu Rongrong Ji MQ 84 19 0 09 Sep 2021
Confounding Tradeoffs for Neural Network Quantization Sahaj Garg Anirudh Jain Joe Lou Mitchell Nahmias MQ 23 17 0 12 Feb 2021
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis Shachar Gluska Mark Grobman MQ 16 5 0 15 Dec 2020
Dual Precision Deep Neural Network J. Park J. Choi J. Ko 14 1 0 02 Sep 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization Jihun Oh Sangjeong Lee Meejeong Park Pooni Walagaurav K. Kwon MQ 20 1 0 13 Aug 2020