Post-training Model Quantization Using GANs for Synthetic Data Generation

10 May 2023

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Papers citing "Post-training Model Quantization Using GANs for Synthetic Data Generation"

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Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
Post-training deep neural network pruning via layer-wise calibration Ivan Lazarevich Alexander Kozlov Nikita Malinin 3DPC 62 27 0 30 Apr 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 286 1,602 0 11 Jan 2021
TinyGAN: Distilling BigGAN for Conditional Image Generation Ting-Yun Chang Chi-Jen Lu GAN 43 27 0 29 Sep 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 161 1,887 0 11 Jun 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 90 586 0 22 Apr 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 98 399 0 01 Jan 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 314 5,828 0 03 Dec 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
Fighting Quantization Bias With Bias Alexander Finkelstein Uri Almog Mark Grobman MQ 77 57 0 07 Jun 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 72 364 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 101 311 0 28 Jan 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,006 0 30 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 63 703 0 26 Jul 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 84 339 0 25 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 204 19,333 0 13 Jan 2018
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 204 2,529 0 19 Jul 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,705 0 31 Aug 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,067 0 10 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Fixed Point Quantization of Deep Convolutional Networks D. Lin S. Talathi V. Annapureddy MQ 104 816 0 19 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 212 2,992 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 82 547 0 22 Jul 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,700 0 08 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 165 1,191 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,733 0 09 Mar 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 169 2,119 0 21 Dec 2013