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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
MinUn: Accurate ML Inference on MicrocontrollersACM SIGPLAN Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2022 Shikhar Jaiswal R. Goli Aayan Kumar Vivek Seshadri Rahul Sharma 265 5 0 29 Oct 2022
Fast DistilBERT on CPUs Haihao Shen Ofir Zafrir Bo Dong Hengyu Meng Xinyu. Ye Zhe Wang Yi Ding Hanwen Chang Guy Boudoukh Moshe Wasserblat VLM 237 2 0 27 Oct 2022
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network QuantizationInternational Conference on Information Photonics (ICIP), 2021 Yoojin Choi Mostafa El-Khamy Jungwon Lee GAN 145 1 0 26 Oct 2022
Approximating Continuous Convolutions for Deep Network CompressionBritish Machine Vision Conference (BMVC), 2022 Theo W. Costain V. Prisacariu 159 0 0 17 Oct 2022
ODG-Q: Robust Quantization via Online Domain GeneralizationInternational Conference on Pattern Recognition (ICPR), 2022 Chaofan Tao Ngai Wong MQ 137 1 0 17 Oct 2022
FIT: A Metric for Model SensitivityInternational Conference on Learning Representations (ICLR), 2022 Ben Zandonati Adrian Alan Pol M. Pierini Olya Sirkin Tal Kopetz MQ 232 9 0 16 Oct 2022
Deep learning model compression using network sensitivity and gradients M. Sakthi N. Yadla Raj Pawate 160 2 0 11 Oct 2022
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic HardwareInternational Green and Sustainable Computing Conference (GSC), 2022 Peyton S. Chandarana Mohammadreza Mohammadi J. Seekings Ramtin Zand 208 8 0 10 Oct 2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile NetworksIEEE wireless communications (IEEE Wireless Commun.), 2022 Kaibin Huang Hai Wu Zhiyan Liu Xiaojuan Qi 190 13 0 07 Oct 2022
Efficient Quantized Sparse Matrix Operations on Tensor CoresInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022 Shigang Li Kazuki Osawa Torsten Hoefler 384 45 0 14 Sep 2022
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural NetworksACM Transactions on Embedded Computing Systems (TECS), 2022 Francesco Daghero Luca Bompani Chen Xie Marco Castellano Luca Gandolfi A. Calimera Enrico Macii Massimo Poncino Daniele Jahier Pagliari BDL HAI 117 33 0 02 Sep 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network QuantizationMicro (MICRO), 2022 Cong Guo Chen Zhang Jingwen Leng Zihan Liu Fan Yang Yun-Bo Liu Minyi Guo Yuhao Zhu MQ 170 93 0 30 Aug 2022
SONAR: Joint Architecture and System Optimization Search Elias Jääsaari Michelle Ma Ameet Talwalkar Tianqi Chen 154 1 0 25 Aug 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and PruningNeural Information Processing Systems (NeurIPS), 2022 Elias Frantar Sidak Pal Singh Dan Alistarh MQ 431 321 0 24 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 257 4 0 22 Aug 2022
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks E. Trommer Bernd Waschneck Akash Kumar 119 9 0 15 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 292 19 0 11 Aug 2022
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme QuantizationInternational Conference on Field-Programmable Logic and Applications (FPL), 2022 Hao Sun Mengshu Sun Alec Lu Haoyu Ma Geng Yuan ... Yanyu Li M. Leeser Zinan Lin Xue Lin Zhenman Fang ViT MQ 151 68 0 10 Aug 2022
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGAInternational Conference on Field-Programmable Logic and Applications (FPL), 2022 Cecilia Latotzke Tim Ciesielski T. Gemmeke MQ 153 12 0 09 Aug 2022
Quantized Sparse Weight Decomposition for Neural Network Compression Andrey Kuzmin M. V. Baalen Markus Nagel Arash Behboodi MQ 136 3 0 22 Jul 2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionEuropean Conference on Computer Vision (ECCV), 2022 Chee Hong Sungyong Baik Heewon Kim Seungjun Nah Kyoung Mu Lee SupR MQ 246 39 0 21 Jul 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 161 10 0 20 Jul 2022
Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss Daning Cheng Wenguang Chen MQ 159 0 0 20 Jul 2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage ActivationIEEE Workshop on Signal Processing Systems (SiPS), 2022 Yu-Shan Tai Cheng-Yang Chang Chieh-Fang Teng AnYeu A. Wu 196 5 0 16 Jul 2022
STI: Turbocharge NLP Inference at the Edge via Elastic PipeliningInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022 Liwei Guo Wonkyo Choe F. Lin 174 21 0 11 Jul 2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yongming Rao Zuyan Liu Wenliang Zhao Jie Zhou Jiwen Lu ViT 218 50 0 04 Jul 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer InferenceIEEE International Conference on Computer Vision (ICCV), 2022 Zhikai Li Qingyi Gu MQ 386 146 0 04 Jul 2022
On-Device Training Under 256KB MemoryNeural Information Processing Systems (NeurIPS), 2022 Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 409 259 0 30 Jun 2022
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-ExplorationACM Transactions on Embedded Computing Systems (TECS), 2022 A. Inci Siri Garudanagiri Virupaksha Aman Jain Ting-Wu Chin Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 174 5 0 30 Jun 2022
Computational Complexity Evaluation of Neural Network Applications in Signal Processing Pedro J. Freire S. Srivallapanondh A. Napoli Jaroslaw E. Prilepsky S. Turitsyn 171 1 0 24 Jun 2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge NodesInternational Green and Sustainable Computing Conference (GSC), 2022 Matteo Risso Luca Bompani Luca Benini Enrico Macii Massimo Poncino Daniele Jahier Pagliari MQ 190 14 0 17 Jun 2022
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Clemens J. S. Schaefer Siddharth Joshi Shane Li Raul Blazquez MQ 162 14 0 15 Jun 2022
SDQ: Stochastic Differentiable Quantization with Mixed PrecisionInternational Conference on Machine Learning (ICML), 2022 Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 358 44 0 09 Jun 2022
NIPQ: Noise proxy-based Integrated Pseudo-QuantizationComputer Vision and Pattern Recognition (CVPR), 2022 Juncheol Shin Junhyuk So Sein Park Seungyeop Kang S. Yoo Eunhyeok Park 166 41 0 02 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022 Swapnil Sayan Saha S. Sandha Mani B. Srivastava 517 169 0 29 May 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2021 Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 228 73 0 23 May 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 385 170 0 14 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks Phuoc Nguyen T. Tran Ky Le Sunil R. Gupta Santu Rana Dang Nguyen Trong Nguyen S. Ryan Svetha Venkatesh BDL 119 7 0 13 May 2022
Revisiting Random Channel Pruning for Neural Network CompressionComputer Vision and Pattern Recognition (CVPR), 2022 Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 197 107 0 11 May 2022
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus Boyang Albert Li Qing Lu Weiwen Jiang Taeho Jung Yiyu Shi 140 7 0 05 May 2022
Lite Pose: Efficient Architecture Design for 2D Human Pose EstimationComputer Vision and Pattern Recognition (CVPR), 2022 Yihan Wang Zhekai Zhang Han Cai Wei-Ming Chen Song Han 3DH 395 86 0 03 May 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel ConvolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 152 48 0 25 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 230 132 0 25 Apr 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted SystemsComputer Vision and Pattern Recognition (CVPR), 2022 Xin Dong B. D. Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li 3DGS 155 24 0 10 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured SparsificationInternational Conference on Learning Representations (ICLR), 2022 Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 192 12 0 06 Apr 2022
REx: Data-Free Residual Quantization Error ExpansionNeural Information Processing Systems (NeurIPS), 2022 Edouard Yvinec Arnaud Dapgony Matthieu Cord Kévin Bailly MQ 322 9 0 28 Mar 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point RepresentationIEEE Access (IEEE Access), 2022 Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 136 8 0 22 Mar 2022
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference Zhongzhi Yu Y. Fu Shang Wu Mengquan Li Haoran You Yingyan Lin 162 2 0 15 Mar 2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network QuantizationInternational Conference on Learning Representations (ICLR), 2022 Qing Jin Jian Ren Richard Zhuang Sumant Hanumante Zhengang Li Zhiyu Chen Yanzhi Wang Kai-Min Yang Sergey Tulyakov MQ 319 54 0 10 Feb 2022
Quantization in Layer's Input is Matter Daning Cheng Wenguang Chen MQ 115 0 0 10 Feb 2022