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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
PDP: Parameter-free Differentiable Pruning is All You NeedNeural Information Processing Systems (NeurIPS), 2023 Minsik Cho Saurabh N. Adya Devang Naik VLM 191 15 0 18 May 2023
Patch-wise Mixed-Precision Quantization of Vision TransformerIEEE International Joint Conference on Neural Network (IJCNN), 2023 Junrui Xiao Zhikai Li Lianwei Yang Qingyi Gu MQ 161 21 0 11 May 2023
LayerNAS: Neural Architecture Search in Polynomial Complexity Yicheng Fan Dana Alon Jingyue Shen Daiyi Peng Keshav Kumar Yun Long Xin Wang Fotis Iliopoulos Da-Cheng Juan Erik Vee 122 5 0 23 Apr 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning ModelInternational Conference on Quantum Computing and Engineering (QCE), 2023 Zhepeng Wang Jinyang Li Zhirui Hu Blake Gage Elizabeth Iwasawa Weiwen Jiang 273 16 0 23 Apr 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 482 4 0 17 Apr 2023
Canvas: End-to-End Kernel Architecture Search in Neural Networks Chenggang Zhao Genghan Zhang Mingyu Gao 177 2 0 16 Apr 2023
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs Javier Campos Zhen Dong Javier Mauricio Duarte A. Gholami Michael W. Mahoney Jovan Mitrevski Nhan Tran MQ 131 4 0 13 Apr 2023
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionInternational Journal of Computer Vision (IJCV), 2023 Ziwei Wang Jiwen Lu Han Xiao Shengyu Liu Jie Zhou OffRL 154 1 0 13 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural NetworksJournal of Computational Science and Technology (JCST), 2023 Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 147 0 0 07 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 282 51 0 07 Apr 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision TransformerComputer Vision and Pattern Recognition (CVPR), 2023 Xuanyao Chen Zhijian Liu Haotian Tang Li Yi Hang Zhao Song Han ViT 327 72 0 30 Mar 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical PerspectiveComputer Vision and Pattern Recognition (CVPR), 2023 Yuexiao Ma Huixia Li Xiawu Zheng Xuefeng Xiao Rui Wang Shilei Wen Xin Pan Jiayi Ji Rongrong Ji MQ 228 15 0 21 Mar 2023
Gated Compression Layers for Efficient Always-On Models Haiguang Li T. Thormundsson I. Poupyrev N. Gillian 166 3 0 15 Mar 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 InferenceIEEE International Conference on Computer Vision (ICCV), 2023 Li Zhang Xudong Wang Jiahang Xu Quanlu Zhang Yujing Wang Yuqing Yang Ningxin Zheng Ting Cao Mao Yang MQ 107 3 0 15 Mar 2023
R2 Loss: Range Restriction Loss for Model Compression and Quantization Arnav Kundu Chungkuk Yoo Srijan Mishra Minsik Cho Saurabh N. Adya MQ 137 2 0 14 Mar 2023
MetaMixer: A Regularization Strategy for Online Knowledge Distillation Maorong Wang L. Xiao T. Yamasaki KELM MoE 115 1 0 14 Mar 2023
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge EnvironmentsACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2023 Hao Wen Yuanchun Li Zunshuai Zhang Shiqi Jiang Xiaozhou Ye Ouyang Ye Yaqin Zhang Yunxin Liu 231 54 0 13 Mar 2023
Bag of Tricks with Quantized Convolutional Neural Networks for image classificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Jie Hu Mengze Zeng Enhua Wu MQ 113 2 0 13 Mar 2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoTIEEE Transactions on Industrial Informatics (IEEE TII), 2023 Yuting Sun Tong Chen Quoc Viet Hung Nguyen Hongzhi Yin 181 18 0 07 Mar 2023
Rotation Invariant Quantization for Model Compression Dor-Joseph Kampeas Yury Nahshan Hanoch Kremer Gil Lederman Shira Zaloshinski Zheng Li E. Haleva MQ 244 1 0 03 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yang He Lingao Xiao 3DPC 348 256 0 01 Mar 2023
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network InferenceIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023 Jiajun Zhou Jiajun Wu Yizhao Gao Yuhao Ding Chaofan Tao Yue Liu Fengbin Tu Kwang-Ting Cheng Hayden Kwok-Hay So Ngai Wong MQ 194 9 0 24 Feb 2023
Towards Optimal Compression: Joint Pruning and Quantization Ben Zandonati Glenn Bucagu Adrian Alan Pol M. Pierini Olya Sirkin Tal Kopetz MQ 313 5 0 15 Feb 2023
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin RegularizationACM Multimedia (ACM MM), 2023 Chen Tang Kai Ouyang Runnan Li Yunpeng Bai Yuan Meng Zhi Wang Wenwu Zhu MQ 161 14 0 14 Feb 2023
A Practical Mixed Precision Algorithm for Post-Training Quantization N. Pandey Markus Nagel M. V. Baalen Yin-Ruey Huang Chirag I. Patel Tijmen Blankevoort MQ 178 28 0 10 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 185 23 0 09 Feb 2023
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System Minkyoung Cho Kang G. Shin 82 2 0 03 Feb 2023
Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search Clemens J. S. Schaefer Elfie Guo Caitlin Stanton Xiaofan Zhang T. Jablin Navid Lambert-Shirzad Jian Li Chia-Wei Chou Siddharth Joshi Yu Wang MQ 216 4 0 02 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 188 6 0 01 Feb 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 283 7 0 30 Jan 2023
Does Federated Learning Really Need Backpropagation?European Conference on Computer Vision (ECCV), 2023 Hao Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 241 12 0 28 Jan 2023
Tailor: Altering Skip Connections for Resource-Efficient InferenceACM Transactions on Reconfigurable Technology and Systems (TRETS), 2023 Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 210 17 0 18 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dan Liu X. Chen Chen Ma Xue Liu MQ 161 4 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 149 0 0 24 Dec 2022
Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization Seongmin Park Beomseok Kwon Jieun Lim Kyuyoung Sim Taeho Kim Jungwook Choi MQ 230 1 0 21 Dec 2022
CSMPQ:Class Separability Based Mixed-Precision QuantizationInternational Conference on Intelligent Computing (ICIC), 2022 Ming-Yu Wang Taisong Jin Miaohui Zhang Zhengtao Yu MQ 115 1 0 20 Dec 2022
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2022 Zhikai Li Junrui Xiao Lianwei Yang Qingyi Gu MQ 292 129 0 16 Dec 2022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-ResolutionIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Stylianos I. Venieris Mario Almeida Royson Lee Nicholas D. Lane SupR 241 7 0 15 Dec 2022
Towards Hardware-Specific Automatic Compression of Neural Networks Torben Krieger Bernhard Klein Holger Fröning MQ 139 4 0 15 Dec 2022
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 481 94 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 197 6 0 10 Dec 2022
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous SparsificationDesign Automation Conference (DAC), 2022 Lirui Xiao Huanrui Yang Zhen Dong Kurt Keutzer Li Du Shanghang Zhang MQ 132 10 0 06 Dec 2022
Make RepVGG Greater Again: A Quantization-aware ApproachAAAI Conference on Artificial Intelligence (AAAI), 2022 Xiangxiang Chu Liang Li Bo Zhang MQ 294 63 0 03 Dec 2022
Boosted Dynamic Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 171 15 0 30 Nov 2022
Class-based Quantization for Neural NetworksDesign, Automation and Test in Europe (DATE), 2022 Wenhao Sun Grace Li Zhang Huaxi Gu Bing Li Ulf Schlichtmann MQ 147 10 0 27 Nov 2022
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous AttentionIEEE International Conference on Computer Vision (ICCV), 2022 Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 309 33 0 25 Nov 2022
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera LocalizationComputer Vision and Pattern Recognition (CVPR), 2022 Shitao Tang Sicong Tang Andrea Tagliasacchi Ping Tan Yasutaka Furukawa 3DPC 150 26 0 21 Nov 2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language ModelsInternational Conference on Machine Learning (ICML), 2022 Guangxuan Xiao Ji Lin Mickael Seznec Hao Wu Julien Demouth Song Han MQ 749 1,170 0 18 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Zhekai Zhang Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 476 61 0 03 Nov 2022
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM Shira Guskin Moshe Wasserblat Chang Wang Haihao Shen MQ 274 2 0 31 Oct 2022

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HAQ: Hardware-Aware Automated Quantization with Mixed Precision

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