FracBits: Mixed Precision Quantization via Fractional Bit-Widths

FracBits: Mixed Precision Quantization via Fractional Bit-Widths

4 July 2020

Linjie Yang

Papers citing "FracBits: Mixed Precision Quantization via Fractional Bit-Widths"

16 / 16 papers shown

Title
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs Lucas Maisonnave Cyril Moineau Olivier Bichler Fabrice Rastello MQ 42 0 0 18 Apr 2025
AdaQAT: Adaptive Bit-Width Quantization-Aware Training Cédric Gernigon Silviu-Ioan Filip Olivier Sentieys Clément Coggiola Mickael Bruno 25 2 0 22 Apr 2024
RefQSR: Reference-based Quantization for Image Super-Resolution Networks H. Lee Jun-Sang Yoo Seung-Won Jung SupR 18 2 0 02 Apr 2024
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 27 1 0 25 Jul 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Mingliang Xu Yuyao Zhou Rongrong Ji Rongrong Ji MQ 34 1 0 14 May 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 23 4 0 30 Jan 2023
CSMPQ:Class Separability Based Mixed-Precision Quantization Ming-Yu Wang Taisong Jin Miaohui Zhang Zhengtao Yu MQ 33 0 0 20 Dec 2022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution Stylianos I. Venieris Mario Almeida Royson Lee Nicholas D. Lane SupR 23 4 0 15 Dec 2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training Mingliang Xu Gongrui Nan Yuxin Zhang Rongrong Ji Rongrong Ji MQ 18 3 0 12 Nov 2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution Chee Hong Sungyong Baik Heewon Kim Seungjun Nah Kyoung Mu Lee SupR MQ 31 32 0 21 Jul 2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation Yu-Shan Tai Cheng-Yang Chang Chieh-Fang Teng AnYeu A. Wu 30 5 0 16 Jul 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 27 33 0 09 Jun 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
OMPQ: Orthogonal Mixed Precision Quantization Yuexiao Ma Taisong Jin Xiawu Zheng Yan Wang Huixia Li Yongjian Wu Guannan Jiang Wei Zhang Rongrong Ji MQ 19 33 0 16 Sep 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models Qing Jin Jian Ren Oliver J. Woodford Jiazhuo Wang Geng Yuan Yanzhi Wang Sergey Tulyakov 39 54 0 05 Mar 2021
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 55 68 0 05 Nov 2018