v1v2v3 (latest)

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Computer Vision and Pattern Recognition (CVPR), 2018

21 November 2018

Zhijian Liu

Song Han

Papers citing "HAQ: Hardware-Aware Automated Quantization with Mixed Precision"

50 / 464 papers shown

Title
A General Error-Theoretical Analysis Framework for Constructing Compression Strategies Yunquan Zhang Daning Cheng Yunquan Zhang Meiqi Tu Fangmin Liu Jiake Tian 186 2 0 24 Dec 2025
SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs Wenhua Cheng Weiwei Zhang Heng Guo Haihao Shen MQ 70 0 0 04 Dec 2025
TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies Guang Liang Jie Shao Ningyuan Tang Xinyao Liu Jianxin Wu MQ 165 0 0 28 Nov 2025
Adaptive Mesh-Quantization for Neural PDE Solvers Winfried van den Dool Maksim Zhdanov Yuki M. Asano Max Welling MQ AI4CE 367 0 0 23 Nov 2025
Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference Kexin Chu Dawei Xiang Zixu Shen Yiwei Yang Zecheng Liu Wei Zhang MoE MQ 407 1 0 19 Nov 2025
MCAQ-YOLO: Morphological Complexity-Aware Quantization for Efficient Object Detection with Curriculum Learning Yoonjae Seo Ermal Elbasani Jaehong Lee MQ 240 0 0 17 Nov 2025
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression Youneng Bao Yulong Cheng Y. Liu Yichen Yang Peng Qin Mu Li Yongsheng Liang MQ 90 0 0 11 Nov 2025
Pruning and Quantization Impact on Graph Neural Networks Khatoon Khedri Reza Rawassizadeh Qifu Wen M. Hosseinzadeh GNN 190 0 0 24 Oct 2025
Quantization Range Estimation for Convolutional Neural Networks Bingtao Yang Yujia Wang Mengzhi Jiao Hongwei Huo MQ 131 0 0 05 Oct 2025
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration Tianqi Liu Kairui Fu Shengyu Zhang W. Fan Zhaocheng Du Jieming Zhu Fan Wu Fei Wu MQ 108 0 0 03 Oct 2025
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks Jaemin Kim Hongjun Um Sungkyun Kim Yongjun Park Jiwon Seo MQ 121 0 0 03 Oct 2025
Assessing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization Logan Frank Paul Ardis AAML 100 0 0 02 Oct 2025
Cat: Post-Training Quantization Error Reduction via Cluster-based Affine Transformation Ali Zoljodi Radu Timofte Masoud Daneshtalab MQ 143 0 0 30 Sep 2025
Embodied AI: From LLMs to World Models Tongtong Feng Xin Wang Yu Jiang Wenwu Zhu LM&Ro 325 9 0 24 Sep 2025
DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling Yubo Gao Renbo Tu Gennady Pekhimenko Nandita Vijaykumar MQ 144 0 0 03 Sep 2025
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Seth Z. Zhao Huizhi Zhang Zhaowei Li Juntong Peng Anthony Chui ... Fujia Wang Ran Tian Chenfeng Xu Bolei Zhou Jiaqi Ma 116 1 0 03 Sep 2025
APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM AccelerationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025 Shaobo Ma Chao Fang Haikuo Shao Zhongfeng Wang 108 0 0 26 Aug 2025
Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers Lucas Maisonnave Karim Haroun Tom Pegeot MQ 95 0 0 22 Aug 2025
Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications Hamza A. Abushahla Dara Varam Ariel J. N. Panopio Mohamed I. AlHajri MQ 352 1 0 20 Aug 2025
eMamba: Efficient Acceleration Framework for Mamba Models in Edge ComputingACM Transactions on Embedded Computing Systems (ACM TECS), 2025 Jiyong Kim J. Lee Jiahao Lin Alish Kanani Miao Sun Ümit Y. Ogras Jaehyun Park Mamba 166 1 0 14 Aug 2025
MiCo: End-to-End Mixed Precision Neural Network Co-Exploration Framework for Edge AI Zijun Jiang Yangdi Lyu MQ 87 0 0 13 Aug 2025
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic Hazem Hesham Yousef Shalby Fabrizio Pittorino Francesca Palermo Diana Trojaniello Manuel Roveri MQ 88 0 0 07 Aug 2025
InfoQ: Mixed-Precision Quantization via Global Information Flow Mehmet Emre Akbulut Hazem Hesham Yousef Shalby Fabrizio Pittorino Manuel Roveri MQ 64 0 0 06 Aug 2025
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision QuantizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Haidong Kang Lianbo Ma Guo-Ding Yu Shangce Gao MQ 228 1 0 05 Aug 2025
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Zuxin Ma Yunhe Cui Yongbin Qin 116 0 0 04 Aug 2025
MSQ: Memory-Efficient Bit Sparsification Quantization Seokho Han Seoyeon Yoon Jinhee Kim Dongwei Wang Kang Eun Jeon Huanrui Yang Jong Hwan Ko MQ 132 0 0 30 Jul 2025
Text Embedding Knows How to Quantize Text-Guided Diffusion Models H. Lee Myungjun Son Dongjea Kang Seung-Won Jung DiffM MQ 243 1 0 14 Jul 2025
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Xinjian Zhao Tianshuo Wei Sheng Zhang Ruocheng Guo Wanyu Wang Shanshan Ye Lixin Zou Xuetao Wei Xiangyu Zhao TTA 273 2 0 07 Jul 2025
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit AllocationNeural Networks (NN), 2025 Xingting Yao Qinghao Hu Fei Zhou Tielong Liu Gang Li Peisong Wang Jian Cheng MQ 174 0 0 30 Jun 2025
Compression Aware Certified Training Changming Xu Gagandeep Singh 142 0 0 13 Jun 2025
Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs Jung Hyun Lee Seungjae Shin Vinnam Kim Jaeseong You An Chen MQ 189 2 0 10 Jun 2025
Towards a Small Language Model Lifecycle Framework Parsa Miraghaei Sergio Moreschini Antti Kolehmainen David Hästbacka 151 0 0 09 Jun 2025
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design Haojie Duanmu Xiuhong Li Zhihang Yuan Size Zheng Jiangfei Duan Xingcheng Zhang Dahua Lin MQ MoE 918 8 0 09 May 2025
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 338 0 0 08 May 2025
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 294 2 0 08 May 2025
Radio: Rate-Distortion Optimization for Large Language Model Compression Sean I. Young MQ 280 1 0 05 May 2025
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression TechniquesAnnual International Computer Software and Applications Conference (COMPSAC), 2025 Sanjay Surendranath Girija Shashank Kapoor Lakshit Arora Dipen Pradhan Aman Raj Ankit Shetgaonkar 338 8 0 05 May 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 394 1 0 23 Apr 2025
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference Coleman Hooper Charbel Sakr Ben Keller Rangharajan Venkatesan Kurt Keutzer Siyang Song Brucek Khailany MQ 265 1 0 19 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Chaoyue Niu Yucheng Ding Junhui Lu Zhengxiang Huang Hang Zeng Yutong Dai Xuezhen Tu Chengfei Lv Fan Wu Guihai Chen 327 2 0 17 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training Yi Hu Jinhang Zuo Eddie Zhang Bob Iannucci Carlee Joe-Wong 255 1 0 13 Apr 2025
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey Fabrizio Mangione Claudio Savaglio Giancarlo Fortino 243 5 0 10 Apr 2025
The Neural Pruning Law Hypothesis Eugen Barbulescu Antonio Alexoaie Lucian Busoniu 351 0 0 06 Apr 2025
Model Hemorrhage and the Robustness Limits of Large Language Models Ziyang Ma Hui Yuan Guang Dai Gui-Song Xia Bo Du Liangpei Zhang Dacheng Tao 317 1 0 31 Mar 2025
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models Hung-Yueh Chiang Chi-chih Chang N. Frumkin Kai-Chiang Wu Mohamed S. Abdelfattah Diana Marculescu MQ 1.1K 2 0 28 Mar 2025
MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness Zihao Zheng Xiuping Cui Size Zheng Maoliang Li Jiayu Chen Yun Liang Xiang Chen MQ MoE 276 1 0 27 Mar 2025
Mixed precision accumulation for neural network inference guided by componentwise forward error analysis El-Mehdi El Arar Silviu-Ioan Filip Theo Mary Elisa Riccietti 205 0 0 19 Mar 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba Juncan Deng Shuaiting Li Zeyu Wang Kedong Xu Hong Gu Kejie Huang MQ 370 0 0 12 Mar 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI ModelsACM Computing Surveys (ACM Comput. Surv.), 2025 Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 366 62 0 08 Mar 2025
MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration Jinguang Wang Jiangming Wang Haifeng Sun Tingting Yang Zirui Zhuang Wanyi Ning Yuexi Yin Q. Qi Jianxin Liao MQ MoMe 195 3 0 07 Mar 2025