Generative Zero-shot Network Quantization

21 January 2021

Papers citing "Generative Zero-shot Network Quantization"

50 / 57 papers shown

Title
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 69 19 0 02 Jul 2023
Characterising Bias in Compressed Models Sara Hooker Nyalleng Moorosi Gregory Clark Samy Bengio Emily L. Denton 64 185 0 06 Oct 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 63 120 0 08 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 57 152 0 06 May 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 80 577 0 22 Apr 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 51 229 0 25 Mar 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 38 127 0 07 Mar 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim Kyungsu Kim Jinseok Kim Jae-Joon Kim MQ 51 48 0 16 Feb 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 85 397 0 01 Jan 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 66 565 0 18 Dec 2019
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 484 42,407 0 03 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry 43 108 0 03 Dec 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 87 185 0 13 Nov 2019
Batch-Shaping for Learning Conditional Channel Gated Networks B. Bejnordi Tijmen Blankevoort Max Welling AI4CE 59 77 0 15 Jul 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 67 512 0 11 Jun 2019
Fighting Quantization Bias With Bias Alexander Finkelstein Uri Almog Mark Grobman MQ 65 56 0 07 Jun 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 52 229 0 23 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Dream Distillation: A Data-Independent Model Compression Framework Kartikeya Bhardwaj Naveen Suda R. Marculescu DD 51 54 0 17 May 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 53 371 0 02 Apr 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 66 362 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 89 309 0 28 Jan 2019
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 78 132 0 03 Oct 2018
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 50 94 0 02 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 259 5,392 0 28 Sep 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 55 52 0 10 Sep 2018
How good is my GAN? K. Shmelkov Cordelia Schmid Alahari Karteek GAN EGVM 51 350 0 25 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,354 0 24 Jun 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 136 1,015 0 21 Jun 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 142 3,726 0 21 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 62 949 0 16 May 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 86 692 0 06 Jan 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 150 3,123 0 15 Dec 2017
Towards Accurate Binary Convolutional Neural Network Xiaofan Lin Cong Zhao Wei Pan MQ 77 644 0 30 Nov 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 116 3,151 0 29 Nov 2017
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 53 272 0 19 Oct 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 384 1,051 0 10 Feb 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 131 1,035 0 04 Dec 2016
Generative Multi-Adversarial Networks Ishan Durugkar I. Gemp Sridhar Mahadevan GAN 65 344 0 05 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 186 2,530 0 02 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 143 1,863 0 22 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 201 6,113 0 01 Jul 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 116 2,086 0 20 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 96 1,744 0 19 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 478 9,048 0 10 Jun 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo Zhang Junchi Yan MQ 71 525 0 16 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 164 4,356 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Resiliency of Deep Neural Networks under Quantization Wonyong Sung Sungho Shin Kyuyeon Hwang MQ 58 157 0 20 Nov 2015