SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

14 February 2022

Cong Guo

Jingwen Leng

Fan Yang

Yuhao Zhu

Minyi Guo

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Papers citing "SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation"

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Title
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Mingliang Xu Yuyao Zhou Yuxin Zhang Shen Li Yong Li Chia-Wen Lin Zhanpeng Zeng Rongrong Ji MQ 316 0 0 31 Dec 2024
Data Generation for Hardware-Friendly Post-Training Quantization Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 468 0 0 29 Oct 2024
Block-Skim: Efficient Question Answering for Transformer Yue Guan Zhengyi Li Jingwen Leng Zhouhan Lin Minyi Guo Yuhao Zhu 71 32 0 16 Dec 2021
Dual-side Sparse Tensor Core Yang-Feng Wang Chen Zhang Zhiqiang Xie Cong Guo Yunxin Liu Jingwen Leng 83 75 0 20 May 2021
Zero-shot Adversarial Quantization Yuang Liu Wei Zhang Jun Wang MQ 105 79 0 29 Mar 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 153 444 0 10 Feb 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 88 2,226 0 11 Jan 2021
How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT $'$ s Attention Yue Guan Jingwen Leng Chao Li Quan Chen Minyi Guo 53 19 0 02 Nov 2020
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks Yikai Wu Xingyu Zhu Chenwei Wu Annie Wang Rong Ge 110 45 0 08 Oct 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity Cong Guo B. Hsueh Jingwen Leng Yuxian Qiu Yue Guan Zehuan Wang Xiaoying Jia Xipeng Li Minyi Guo Yuhao Zhu 71 83 0 29 Aug 2020
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks Xu Qian Victor Li Darren Crews MQ 44 9 0 19 Aug 2020
Sparse GPU Kernels for Deep Learning Trevor Gale Matei A. Zaharia C. Young Erich Elsen 80 234 0 18 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 109 128 0 14 Jun 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 74 121 0 08 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 95 588 0 22 Apr 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 60 127 0 07 Mar 2020
SpArch: Efficient Architecture for Sparse Matrix Multiplication Zhekai Zhang Hanrui Wang Song Han W. Dally 71 233 0 20 Feb 2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration Cong Guo Yangjie Zhou Jingwen Leng Yuhao Zhu Zidong Du Quan Chen Chao Li Bin Yao Minyi Guo 52 33 0 18 Feb 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 101 399 0 01 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 95 282 0 10 Nov 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 72 46 0 10 Aug 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 92 528 0 29 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen Chong Li Minyi Guo Yuhao Zhu AAML 66 51 0 17 Apr 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 82 364 0 18 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 117 311 0 28 Jan 2019
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 62 299 0 23 Mar 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 167 3,143 0 15 Dec 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 152 6,886 0 04 Jul 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 183 507 0 22 May 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,862 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,709 0 08 Jun 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 209 2,049 0 09 Feb 2015