v1v2 (latest)

Post-Training Piecewise Linear Quantization for Deep Neural Networks

European Conference on Computer Vision (ECCV), 2020

31 January 2020

Papers citing "Post-Training Piecewise Linear Quantization for Deep Neural Networks"

50 / 73 papers shown

Title
MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive CrossbarsInternational Conference on Learning Representations (ICLR), 2025 Matheus Farias Wanghley Martins H. T. Kung 64 0 0 06 Nov 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution Hailing Wang Jianglin Lu Yitian Zhang Y. Fu MQ 100 0 0 01 Nov 2025
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models Seunghoon Lee Jeongwoo Choi Byunggwan Son Jaehyeon Moon Jeimin Jeon Bumsub Ham DiffM MQ 176 0 0 23 Oct 2025
Collaborative Compression for Large-Scale MoE Deployment on Edge Yixiao Chen Yanyue Xie Ruining Yang Wei Jiang Wei Wang Yong He Yue Chen Pu Zhao Y. Wang MQ 56 0 0 30 Sep 2025
Bi-VLM: Pushing Ultra-Low Precision Post-Training Quantization Boundaries in Vision-Language Models Xijun Wang Junyun Huang Rayyan Abdalla Chengyuan Zhang Ruiqi Xian Wanrong Zhu MQ VLM 123 0 0 23 Sep 2025
Enhancing Quantization-Aware Training on Edge Devices via Relative Entropy Coreset Selection and Cascaded Layer Correction Yujia Tong Jingling Yuan Chuang Hu MQ 154 1 0 17 Jul 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels Yujia Tong Yuze Wang Jingling Yuan Chuang Hu NoLa 234 2 0 18 Mar 2025
Task Vector Quantization for Memory-Efficient Model Merging Youngeun Kim Seunghwan Lee Aecheon Jung Bogon Ryu Sungeun Hong MQ MoMe 224 3 0 10 Mar 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 334 1 0 01 Nov 2024
Efficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit StuckingInternational Symposium on Circuits and Systems (ISCAS), 2024 Matheus Farias H. T. Kung MQ 117 2 0 29 Oct 2024
Sorted Weight Sectioning for Energy-Efficient Unstructured Sparse DNNs on Compute-in-Memory CrossbarsInternational Symposium on Circuits and Systems (ISCAS), 2024 Matheus Farias H. T. Kung 170 2 0 15 Oct 2024
Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential DetectionIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024 H. Cecotti Dalvir Dhaliwal Hardip Singh Y. Meena MQ 61 0 0 10 Oct 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 257 5 0 18 Sep 2024
Quantizing YOLOv7: A Comprehensive Study Mohammadamin Baghbanbashi Mohsen Raji B. Ghavami MQ 142 10 0 06 Jul 2024
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model Jinyin Chen Xiaoming Zhao Haibin Zheng Xiao Li Sheng Xiang Haifeng Guo AAML 124 7 0 01 Jun 2024
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge ChonLam Lao Jiaqi Gao Ganesh Ananthanarayanan Aditya Akella Minlan Yu VLM 181 0 0 29 May 2024
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves Mykhail M. Uss Ruslan Yermolenko Olena Kolodiazhna Olena Kolodiazhna Ivan Safonov Volodymyr Savin Yoonjae Yeo Seowon Ji Jaeyun Jeong MQ 175 0 0 22 May 2024
Investigating the Impact of Quantization on Adversarial Robustness Qun Li Yuan Meng Chen Tang Jiacheng Jiang Zhi Wang 144 11 0 08 Apr 2024
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision QuantizationIEEE International Symposium on Quality Electronic Design (ISQED), 2024 B. Ghavami Amin Kamjoo Lesley Shannon S. Wilton MQ 138 0 0 03 Apr 2024
Instance-Aware Group Quantization for Vision Transformers Jaehyeon Moon Jeimin Jeon Junyong Cheon Bumsub Ham MQ ViT 226 15 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 339 5 0 25 Mar 2024
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment Atah Nuh Mih Alireza Rahimi Asfia Kawnine Francis Palma Monica Wachowicz R. Dubay Hung Cao 218 0 0 14 Mar 2024
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning Jiun-Man Chen Yu-Hsuan Chao Yu-Jie Wang Ming-Der Shieh Chih-Chung Hsu Wei-Fen Lin MQ 222 2 0 11 Mar 2024
Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers Orhan Eren Akgün Néstor Cuevas Matheus Farias Daniel Garces 173 1 0 20 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMsInternational Conference on Machine Learning (ICML), 2024 Wei Huang Yangdong Liu Haotong Qin Ying Li Shiming Zhang Xianglong Liu Michele Magno Xiaojuan Qi MQ 259 125 0 06 Feb 2024
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination Jijia Liu Chao Yu Jiaxuan Gao Yuqing Xie Qingmin Liao Yi Wu Yu Wang LLMAG LM&Ro 336 55 0 23 Dec 2023
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means Sean Jaffe Ambuj K. Singh Francesco Bullo MQ 175 0 0 12 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataEuropean Conference on Computer Vision (ECCV), 2023 Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 261 6 0 07 Dec 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 219 16 0 20 Nov 2023
Exploring Post-Training Quantization of Protein Language ModelsIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 Shuang Peng Fei Yang Ning Sun Sheng Chen Yanfeng Jiang Aimin Pan MQ 122 0 0 30 Oct 2023
SINF: Semantic Neural Network Inference with Semantic Subgraphs Sazzad Sayyed Jonathan D. Ashdown 211 0 0 02 Oct 2023
A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023 Xunyu Zhu Jian Li Yong Liu Can Ma Weiping Wang 294 332 0 15 Aug 2023
Digital Modeling on Large Kernel Metamaterial Neural NetworkJournal of Imaging Science and Technology (JIST), 2023 Quan Liu Hanyu Zheng Brandon T. Swartz Ho Hin Lee Zuhayr Asad I. Kravchenko Jason G Valentine Yuankai Huo 132 6 0 21 Jul 2023
Q-YOLO: Efficient Inference for Real-time Object DetectionAsian Conference on Pattern Recognition (ACPR), 2023 Mingze Wang H. Sun Jun Shi Xuhui Liu Baochang Zhang Xianbin Cao ObjD 135 14 0 01 Jul 2023
Efficient Online Processing with Deep Neural Networks Lukas Hedegaard 167 0 0 23 Jun 2023
Towards Accurate Post-training Quantization for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Changyuan Wang Ziwei Wang Xiuwei Xu Yansong Tang Jie Zhou Jiwen Lu MQ 246 34 0 30 May 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network QuantizationPattern Recognition (Pattern Recogn.), 2023 Mingliang Xu Yuyao Zhou Jiayi Ji Rongrong Ji MQ 197 7 0 14 May 2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training SamplesNeural Networks (Neural Netw.), 2023 T. Gao Chengzhong Xu Le Zhang Hui Kong 323 9 0 13 May 2023
CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation J. Heo S. Azizi A. Fayyazi Massoud Pedram 177 1 0 08 May 2023
Q-DETR: An Efficient Low-Bit Quantized Detection TransformerComputer Vision and Pattern Recognition (CVPR), 2023 Sheng Xu Yanjing Li Mingbao Lin Penglei Gao Guodong Guo Jinhu Lu Baochang Zhang MQ 154 33 0 01 Apr 2023
Towards Accurate Post-Training Quantization for Vision TransformerACM Multimedia (ACM MM), 2022 Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 187 89 0 25 Mar 2023
Ultra-low Precision Multiplication-free Training for Deep Neural Networks Yu Xie Rui Zhang Xishan Zhang Yifan Hao Zidong Du Xingui Hu Ling Li Qi Guo MQ 246 2 0 28 Feb 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang MQ 153 23 0 09 Feb 2023
PowerQuant: Automorphism Search for Non-Uniform QuantizationInternational Conference on Learning Representations (ICLR), 2023 Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly MQ 128 22 0 24 Jan 2023
PD-Quant: Post-Training Quantization based on Prediction Difference MetricComputer Vision and Pattern Recognition (CVPR), 2022 Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 433 92 0 14 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous InferenceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 189 6 0 10 Dec 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision TransformerNeural Information Processing Systems (NeurIPS), 2022 Yanjing Li Sheng Xu Baochang Zhang Xianbin Cao Penglei Gao Guodong Guo MQ ViT 193 127 0 13 Oct 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning ApproachEuropean Conference on Computer Vision (ECCV), 2022 Jiseok Youn Jaehun Song Hyung-Sin Kim S. Bahk MQ 129 10 0 20 Jul 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image ClassificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 353 163 0 14 May 2022
SPIQ: Data-Free Per-Channel Static Input QuantizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly MQ 97 22 0 28 Mar 2022