v1v2v3 (latest)

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

21 November 2018

Zhijian Liu

Song Han

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

50 / 436 papers shown

Title
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration A. Inci Siri Garudanagiri Virupaksha Aman Jain Ting-Wu Chin Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 44 3 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 87 1 0 24 Jun 2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes Matteo Risso Luca Bompani Luca Benini Enrico Macii Massimo Poncino Daniele Jahier Pagliari MQ 68 12 0 17 Jun 2022
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks Clemens J. S. Schaefer Siddharth Joshi Shane Li Raul Blazquez MQ 67 10 0 15 Jun 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 112 34 0 09 Jun 2022
NIPQ: Noise proxy-based Integrated Pseudo-Quantization Juncheol Shin Junhyuk So Sein Park Seungyeop Kang S. Yoo Eunhyeok Park 53 28 0 02 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 109 125 0 29 May 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 106 61 0 23 May 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 127 103 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 54 7 0 13 May 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 110 86 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 64 6 0 05 May 2022
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation Yihan Wang Zhekai Zhang Han Cai Wei-Ming Chen Song Han 3DH 123 75 0 03 May 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 72 40 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 116 115 0 25 Apr 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems Xin Dong B. D. Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li 3DGS 69 20 0 10 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 98 11 0 06 Apr 2022
REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec Arnaud Dapgony Matthieu Cord Kévin Bailly MQ 93 8 0 28 Mar 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 61 7 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 63 1 0 15 Mar 2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization Qing Jin Jian Ren Richard Zhuang Sumant Hanumante Zhengang Li Zhiyu Chen Yanzhi Wang Kai-Min Yang Sergey Tulyakov MQ 97 50 0 10 Feb 2022
Quantization in Layer's Input is Matter Daning Cheng Wenguang Chen MQ 38 0 0 10 Feb 2022
TinyM $^2$ Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices Hasib-Al Rashid Pretom Roy Ovi Carl E. Busart A. Gangopadhyay T. Mohsenin 81 12 0 09 Feb 2022
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals Weidong Cao Yilong Zhao Adith Boloor Yinhe Han Xuan Zhang Li Jiang 83 20 0 30 Jan 2022
UWC: Unit-wise Calibration Towards Rapid Network Compression Chen Lin Zheyang Li Bo Peng Haoji Hu Wenming Tan Ye Ren Shiliang Pu MQ 38 1 0 17 Jan 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks Runpei Dong Zhanhong Tan Mengdi Wu Linfeng Zhang Kaisheng Ma MQ 94 12 0 30 Dec 2021
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch Souvik Kundu Shikai Wang Qirui Sun Peter A. Beerel Massoud Pedram MQ 79 18 0 24 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores Yu Gong Zhihang Xu Zhezhi He Weifeng Zhang Xiaobing Tu Xiaoyao Liang Li Jiang 56 13 0 15 Dec 2021
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 75 26 0 08 Dec 2021
Implicit Neural Representations for Image Compression Yannick Strümpler Janis Postels Ren Yang Luc van Gool F. Tombari 93 165 0 08 Dec 2021
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics Prasen Kumar Sharma Arun Abraham V. N. Rajendiran MQ 105 8 0 06 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 90 7 0 06 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 48 1 0 01 Dec 2021
Adaptive Token Sampling For Efficient Vision Transformers Mohsen Fayyaz Soroush Abbasi Koohpayegani F. Jafari Sunando Sengupta Hamid Reza Vaezi Joze Eric Sommerlade Hamed Pirsiavash Juergen Gall ViT 133 160 0 30 Nov 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition Junhao Xu Jianwei Yu Shoukang Hu Xunying Liu Helen Meng MQ 107 15 0 29 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 157 25 0 24 Nov 2021
Semi-Online Knowledge Distillation Zhiqiang Liu Yanxia Liu Chengkai Huang 53 5 0 23 Nov 2021
Mesa: A Memory-saving Training Framework for Transformers Zizheng Pan Peng Chen Haoyu He Jing Liu Jianfei Cai Bohan Zhuang 83 21 0 22 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 77 0 0 19 Nov 2021
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks Berivan Isik P. Chou S. Hwang Nick Johnston G. Toderici 3DPC 90 29 0 17 Nov 2021
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Yuhang Li Mingzhu Shen Jian Ma Yan Ren Mingxin Zhao Qi Zhang Ruihao Gong F. Yu Junjie Yan MQ 94 51 0 05 Nov 2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Sijia Liu Yanzhi Wang Xue Lin MQ 72 11 0 30 Oct 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 102 160 0 28 Oct 2021
Applications and Techniques for Fast Machine Learning in Science A. Deiana Nhan Tran Joshua C. Agar Michaela Blott G. D. Guglielmo ... Ashish Sharma S. Summers Pietro Vischia J. Vlimant Olivia Weng 94 72 0 25 Oct 2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference Mohammad Akbari Amin Banitalebi-Dehkordi Yong Zhang BDL MQ 82 7 0 20 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 111 7 0 16 Oct 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices Tianli Zhao Xi Sheryl Zhang Wentao Zhu Jiaxing Wang Sen Yang Ji Liu Jian Cheng 88 2 0 15 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 89 68 0 13 Oct 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 115 17 0 30 Sep 2021