BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

10 February 2021

Yuhang Li

Xu Tan

Papers citing "BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction"

50 / 94 papers shown

Title
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance Jinuk Kim Marwa El Halabi W. Park Clemens JS Schaefer Deokjae Lee Yeonhong Park Jae W. Lee Hyun Oh Song MQ 29 0 0 11 May 2025
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 63 0 0 08 May 2025
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 45 0 0 08 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs Lukas Meiner Jens Mehnert A. P. Condurache MQ 42 0 0 06 May 2025
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques Sanjay Surendranath Girija Shashank Kapoor Lakshit Arora Dipen Pradhan Aman Raj Ankit Shetgaonkar 54 0 0 05 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective Qian Zeng Jie Song Yuanyu Wan Huiqiong Wang Mingli Song DiffM MQ 76 1 0 04 May 2025
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction Changjun Li Runqing Jiang Zhuo Song Pengpeng Yu Ye Zhang Yulan Guo MQ 56 0 0 01 May 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 48 0 0 03 Apr 2025
GranQ: Granular Zero-Shot Quantization with Unified Layer-Channel Awareness Inpyo Hong Youngwan Jo Hyojeong Lee Sunghyun Ahn Sanghyun Park MQ 60 0 0 24 Mar 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
Split Adaptation for Pre-trained Vision Transformers Lixu Wang Bingqi Shang Y. Li Payal Mohapatra Wei Dong Xiao-Xu Wang Qi Zhu ViT 43 0 0 01 Mar 2025
SpinQuant: LLM quantization with learned rotations Zechun Liu Changsheng Zhao Igor Fedorov Bilge Soran Dhruv Choudhary Raghuraman Krishnamoorthi Vikas Chandra Yuandong Tian Tijmen Blankevoort MQ 127 84 0 21 Feb 2025
Progressive Binarization with Semi-Structured Pruning for LLMs X. Yan Tianao Zhang Zhiteng Li Yulun Zhang MQ 54 0 0 03 Feb 2025
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Yunshan Zhong Yuyao Zhou Yuxin Zhang Shen Li Yong Li Fei Chao Zhanpeng Zeng Rongrong Ji MQ 94 0 0 31 Dec 2024
PTQ4VM: Post-Training Quantization for Visual Mamba Younghyun Cho Changhun Lee Seonggon Kim Eunhyeok Park MQ Mamba 43 2 0 29 Dec 2024
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Muhammad Shafique AAML 74 0 0 22 Nov 2024
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 36 0 0 01 Nov 2024
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 142 0 0 29 Oct 2024
FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun Ruikang Liu Haoli Bai Han Bao Kang Zhao ... Lu Hou Chun Yuan Xin Jiang W. Liu Jun Yao MQ 71 4 0 12 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 28 1 0 08 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li X. Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Zhongchao Shi Linghe Kong Yulun Zhang Xiaokang Yang MQ 29 2 0 04 Oct 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 0 28 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 45 0 0 22 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 40 0 0 20 Jul 2024
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices Jung Hyun Lee Jeonghoon Kim J. Yang S. Kwon Eunho Yang Kang Min Yoo Dongsoo Lee MQ 36 2 0 16 Jul 2024
BoA: Attention-aware Post-training Quantization without Backpropagation Junhan Kim Ho-Young Kim Eulrang Cho Chungman Lee Joonyoung Kim Yongkweon Jeon MQ 33 0 0 19 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 99 23 0 04 Jun 2024
LCQ: Low-Rank Codebook based Quantization for Large Language Models Wen-Pu Cai Wu-Jun Li Wu-Jun Li MQ 38 0 0 31 May 2024
P $^2$ -ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer Huihong Shi Xin Cheng Wendong Mao Zhongfeng Wang MQ 40 3 0 30 May 2024
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models Xing Hu Yuan Cheng Dawei Yang Zhihang Yuan Jiangyong Yu Chen Xu Sifan Zhou MQ 36 7 0 28 May 2024
OAC: Output-adaptive Calibration for Accurate Post-training Quantization Ali Edalati Alireza Ghaffari M. Asgharian Lu Hou Boxing Chen Vahid Partovi Nia V. Nia MQ 78 0 0 23 May 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection Yunqian Fan Xiuying Wei Ruihao Gong Yuqing Ma Xiangguo Zhang Qi Zhang Xianglong Liu MQ 27 2 0 10 May 2024
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design Jian Meng Yuan Liao Anupreetham Anupreetham Ahmed Hassan Shixing Yu Han-Sok Suh Xiaofeng Hu Jae-sun Seo MQ 49 1 0 02 May 2024
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models Wanyun Cui Qianle Wang MQ 34 2 0 03 Apr 2024
Instance-Aware Group Quantization for Vision Transformers Jaehyeon Moon Dohyung Kim Junyong Cheon Bumsub Ham MQ ViT 27 6 0 01 Apr 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
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization Zhikai Li Xuewen Liu Jing Zhang Qingyi Gu MQ 37 7 0 08 Feb 2024
CBQ: Cross-Block Quantization for Large Language Models Xin Ding Xiaoyu Liu Zhijun Tu Yun-feng Zhang Wei Li ... Hanting Chen Yehui Tang Zhiwei Xiong Baoqun Yin Yunhe Wang MQ 27 13 0 13 Dec 2023
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs Shivam Aggarwal Hans Jakob Damsgaard Alessandro Pappalardo Giuseppe Franco Thomas B. Preußer Michaela Blott Tulika Mitra MQ 19 5 0 21 Nov 2023
Effortless Cross-Platform Video Codec: A Codebook-Based Method Kuan Tian Yonghang Guan Jin-Peng Xiang Jun Zhang Xiao Han Wei Yang 32 1 0 16 Oct 2023
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models Jung Hwan Heo Jeonghoon Kim Beomseok Kwon Byeongwook Kim Se Jung Kwon Dongsoo Lee MQ 38 9 0 27 Sep 2023
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu MQ 33 16 0 21 Aug 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 24 6 0 10 Aug 2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees Jerry Chee Yaohui Cai Volodymyr Kuleshov Chris De Sa MQ 20 187 0 25 Jul 2023
Digital Modeling on Large Kernel Metamaterial Neural Network Quan Liu Hanyu Zheng Brandon T. Swartz Ho Hin Lee Zuhayr Asad I. Kravchenko Jason G Valentine Yuankai Huo 10 4 0 21 Jul 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 39 3 0 10 Jul 2023
Squeezing Large-Scale Diffusion Models for Mobile Jiwoong Choi Minkyu Kim Daehyun Ahn Taesu Kim Yulhwa Kim Do-Hyun Jo H. Jeon Jae-Joon Kim Hyungjun Kim 26 9 0 03 Jul 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing Yelysei Bondarenko Markus Nagel Tijmen Blankevoort MQ 13 88 0 22 Jun 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 30 101 0 18 May 2023
Patch-wise Mixed-Precision Quantization of Vision Transformer Junrui Xiao Zhikai Li Lianwei Yang Qingyi Gu MQ 27 12 0 11 May 2023