Learnable Companding Quantization for Accurate Low-bit Neural Networks

12 March 2021

Papers citing "Learnable Companding Quantization for Accurate Low-bit Neural Networks"

6 / 6 papers shown

Title
Fast Matrix Multiplications for Lookup Table-Quantized LLMs Han Guo William Brandon Radostin Cholakov Jonathan Ragan-Kelley Eric P. Xing Yoon Kim MQ 83 12 0 20 Jan 2025
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 28 1 0 08 Oct 2024
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 26 9 0 20 Jul 2023
SQuAT: Sharpness- and Quantization-Aware Training for BERT Zheng Wang Juncheng Billy Li Shuhui Qu Florian Metze Emma Strubell MQ 18 7 0 13 Oct 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation Geondo Park Jaehong Yoon H. Zhang Xingge Zhang S. Hwang Yonina C. Eldar MQ 28 1 0 04 Jul 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021