PD-Quant: Post-Training Quantization based on Prediction Difference Metric

14 December 2022

Papers citing "PD-Quant: Post-Training Quantization based on Prediction Difference Metric"

45 / 45 papers shown

Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 61 0 0 08 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 49 0 0 01 May 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li Ruokai Yin Donghyun Lee Shiting Xiao Priyadarshini Panda MQ 45 0 0 03 Apr 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers Zhuguanyu Wu Jiayi Zhang Jiaxin Chen Jinyang Guo Di Huang Yunhong Wang MQ 45 1 0 03 Apr 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 42 0 0 10 Mar 2025
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model Jing Zhang Z. Li Qingyi Gu MQ VLM 51 0 0 09 Mar 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model Wenlun Zhang Shimpei Ando Kentaro Yoshioka VLM MQ 60 0 0 05 Mar 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models J. Zhao Miao Zhang M. Wang Yuzhang Shang Kaihao Zhang Weili Guan Yaowei Wang Min Zhang MQ 44 0 0 18 Feb 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Weilun Feng Haotong Qin Chuanguang Yang Zhulin An Libo Huang Boyu Diao Fei Wang Renshuai Tao Y. Xu Michele Magno DiffM MQ 78 4 0 16 Dec 2024
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Zining Wnag J. Guo Ruihao Gong Yang Yong Aishan Liu Yushi Huang Jiaheng Liu X. Liu 71 1 0 10 Dec 2024
Quantization without Tears Minghao Fu Hao Yu Jie Shao Junjie Zhou Ke Zhu Jianxin Wu MQ 61 0 0 21 Nov 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models Hang Guo Yawei Li Tao Dai Shu-Tao Xia Luca Benini MQ 21 1 0 29 Oct 2024
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 101 0 0 29 Oct 2024
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation Xiaoyan Jiang Hang Yang Kaiying Zhu Xihe Qiu Shibo Zhao Sifan Zhou MQ 21 0 0 25 Sep 2024
Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview Yanshu Wang Tong Yang Xiyan Liang Guoan Wang Hanning Lu Xu Zhe Yaoming Li Li Weitao MQ 34 2 0 18 Sep 2024
An Edge AI System Based on FPGA Platform for Railway Fault Detection Jiale Li Yulin Fu Dongwei Yan Sean Longyu Ma Chiu-Wing Sham 29 2 0 08 Aug 2024
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers Lianwei Yang Haisong Gong Qingyi Gu MQ 32 2 0 06 Aug 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
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 33 0 0 20 Jul 2024
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers Yanfeng Jiang Ning Sun Xueshuo Xie Fei Yang Tao Li MQ 33 2 0 03 Jul 2024
LPViT: Low-Power Semi-structured Pruning for Vision Transformers Kaixin Xu Zhe Wang Chunyun Chen Xue Geng Jie Lin Xulei Yang Min-man Wu Min Wu Xiaoli Li Weisi Lin ViT VLM 43 6 0 02 Jul 2024
An Analysis on Quantizing Diffusion Transformers Yuewei Yang Jialiang Wang Xiaoliang Dai Peizhao Zhang Hongbo Zhang MQ 29 1 0 16 Jun 2024
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram Sifan Zhou Zhihang Yuan Dawei Yang Xubin Wen Xing Hu Yuguang Shi Ziyu Zhao Xiaobo Lu 27 0 0 29 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 6 0 28 May 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers Junyi Wu Haoxuan Wang Yuzhang Shang Mubarak Shah Yan Yan MQ 33 18 0 25 May 2024
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks Boheng Li Yishuo Cai Haowei Li Feng Xue Zhifeng Li Yiming Li MQ AAML 27 20 0 21 May 2024
PTQ4SAM: Post-Training Quantization for Segment Anything Chengtao Lv Hong Chen Jinyang Guo Yifu Ding Xianglong Liu VLM MQ 26 13 0 06 May 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization Aozhong Zhang Zi Yang Naigang Wang Yingyong Qin Jack Xin Xin Li Penghang Yin VLM MQ 27 3 0 11 Mar 2024
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities Kaiwen Cai Zhekai Duan Gaowen Liu Charles Fleming Chris Xiaoxuan Lu VLM 28 3 0 07 Mar 2024
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More Yuxuan Yue Zhihang Yuan Haojie Duanmu Sifan Zhou Jianlong Wu Liqiang Nie MQ 27 41 0 19 Feb 2024
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection Sifan Zhou Liang Li Xinyu Zhang Bo-Wen Zhang Shipeng Bai Miao Sun Ziyu Zhao Xiaobo Lu Xiangxiang Chu MQ 29 12 0 29 Jan 2024
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer Y. Tai An-Yeu Wu Wu MQ 26 6 0 26 Jan 2024
TinySAM: Pushing the Envelope for Efficient Segment Anything Model Han Shu Wenshuo Li Yehui Tang Yiman Zhang Yihao Chen Houqiang Li Yunhe Wang Xinghao Chen VLM 36 18 0 21 Dec 2023
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization Yunshan Zhong Jiawei Hu Mingbao Lin Mengzhao Chen Rongrong Ji MQ 28 3 0 16 Nov 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Vittorio Giammarino Arnaud Dapogny Kévin Bailly MQ 17 1 0 29 Sep 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 16 0 0 15 Aug 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 11 6 0 10 Aug 2023
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric Lin Niu Jia-Wen Liu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 17 2 0 19 Apr 2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance Zhihang Yuan Jiawei Liu Jiaxiang Wu Dawei Yang Qiang Wu Guangyu Sun Wenyu Liu Xinggang Wang Bingzhe Wu MQ 6 6 0 23 Mar 2023
R2 Loss: Range Restriction Loss for Model Compression and Quantization Arnav Kundu Chungkuk Yoo Srijan Mishra Minsik Cho Saurabh N. Adya MQ 19 1 0 14 Mar 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang MQ 16 20 0 09 Feb 2023
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 30 81 0 14 May 2022
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 52 93 0 01 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 669 0 24 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014