Network Quantization with Element-wise Gradient Scaling

2 April 2021

Papers citing "Network Quantization with Element-wise Gradient Scaling"

20 / 20 papers shown

Title
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Lianbo Ma Jianlun Ma Yuee Zhou Guoyang Xie Qiang He Zhichao Lu MQ 48 0 0 08 May 2025
Q-VLM: Post-training Quantization for Large Vision-Language Models Changyuan Wang Ziwei Wang Xiuwei Xu Yansong Tang Jie Zhou Jiwen Lu MQ 32 1 0 10 Oct 2024
Instance-Aware Group Quantization for Vision Transformers Jaehyeon Moon Dohyung Kim Junyong Cheon Bumsub Ham MQ ViT 29 7 0 01 Apr 2024
NOLA: Compressing LoRA using Linear Combination of Random Basis Soroush Abbasi Koohpayegani K. Navaneet Parsa Nooralinejad Soheil Kolouri Hamed Pirsiavash 40 12 0 04 Oct 2023
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 29 9 0 20 Jul 2023
MobileNMT: Enabling Translation in 15MB and 30ms Ye Lin Xiaohui Wang Zhexi Zhang Mingxuan Wang Tong Xiao Jingbo Zhu MQ 30 1 0 07 Jun 2023
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input Senmao Tian Ming Lu Jiaming Liu Yandong Guo Yurong Chen Shunli Zhang SupR MQ 22 11 0 13 Apr 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Xiuwei Xu Ziwei Wang Jie Zhou Jiwen Lu 3DPC MQ 32 6 0 27 Mar 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 24 20 0 24 Mar 2023
CSMPQ:Class Separability Based Mixed-Precision Quantization Ming-Yu Wang Taisong Jin Miaohui Zhang Zhengtao Yu MQ 23 0 0 20 Dec 2022
Redistribution of Weights and Activations for AdderNet Quantization Ying Nie Kai Han Haikang Diao Chuanjian Liu Enhua Wu Yunhe Wang MQ 52 6 0 20 Dec 2022
Class-based Quantization for Neural Networks Wenhao Sun Grace Li Zhang Huaxi Gu Bing Li Ulf Schlichtmann MQ 24 7 0 27 Nov 2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training Yunshan Zhong Gongrui Nan Yu-xin Zhang Rongrong Ji Rongrong Ji MQ 18 3 0 12 Nov 2022
Deep learning model compression using network sensitivity and gradients M. Sakthi N. Yadla Raj Pawate 21 2 0 11 Oct 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
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 27 2 0 12 Apr 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 46 71 0 17 Nov 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 131 324 0 24 Sep 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 331 1,049 0 10 Feb 2017