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AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks

7 November 2022

Papers citing "AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks"

50 / 64 papers shown

Title
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 67 58 0 17 Aug 2022
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats Brian Chmiel Ron Banner Elad Hoffer Hilla Ben Yaacov Daniel Soudry MQ 66 23 0 19 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks Huu Le R. Høier Che-Tsung Lin Christopher Zach 63 17 0 06 Dec 2021
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators Alexander Shekhovtsov MQ 59 5 0 07 Oct 2021
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems Michael Muehlebach Michael I. Jordan 72 18 0 17 Jul 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 105 81 0 09 Jul 2021
A White Paper on Neural Network Quantization Markus Nagel Marios Fournarakis Rana Ali Amjad Yelysei Bondarenko M. V. Baalen Tijmen Blankevoort MQ 92 545 0 15 Jun 2021
In-Hindsight Quantization Range Estimation for Quantized Training Marios Fournarakis Markus Nagel MQ 34 10 0 10 May 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 208 700 0 24 Jan 2021
A Review of Recent Advances of Binary Neural Networks for Edge Computing Wenyu Zhao Teli Ma Xuan Gong Baochang Zhang David Doermann MQ 57 24 0 24 Nov 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks Jianfei Chen Yujie Gai Z. Yao Michael W. Mahoney Joseph E. Gonzalez MQ 56 59 0 27 Oct 2020
Rotated Binary Neural Network Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Yan Wang Yongjian Wu Feiyue Huang Chia-Wen Lin MQ 63 133 0 28 Sep 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks Alexander Shekhovtsov Dmitry Molchanov MQ 45 16 0 11 Jun 2020
LSQ+: Improving low-bit quantization through learnable offsets and better initialization Yash Bhalgat Jinwon Lee Markus Nagel Tijmen Blankevoort Nojun Kwak MQ 62 222 0 20 Apr 2020
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training Simon Wiedemann Temesgen Mehari Kevin Kepp Wojciech Samek 66 18 0 09 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 129 470 0 31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 57 229 0 25 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 143 354 0 07 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 67 42 0 25 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? Joseph Bethge Christian Bartz Haojin Yang Ying-Cong Chen Christoph Meinel MQ 70 91 0 16 Jan 2020
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip Torr Leonid Sigal P. Dokania MQ 47 25 0 18 Oct 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 64 259 0 28 Sep 2019
Regularizing Activation Distribution for Training Binarized Deep Networks Ruizhou Ding Ting-Wu Chin Z. Liu Diana Marculescu MQ 63 149 0 04 Apr 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
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr Naresh R Shanbhag MQ 63 43 0 31 Dec 2018
Training Deep Neural Networks with 8-bit Floating Point Numbers Naigang Wang Jungwook Choi D. Brand Chia-Yu Chen K. Gopalakrishnan MQ 65 503 0 19 Dec 2018
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Leonid Sigal Philip Torr MQ 70 20 0 11 Dec 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 66 117 0 01 Oct 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 60 52 0 10 Sep 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 80 234 0 13 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 89 557 0 01 Aug 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
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 42 76 0 17 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 80 133 0 01 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
Stochastic subgradient method converges on tame functions Damek Davis Dmitriy Drusvyatskiy Sham Kakade Jason D. Lee 62 251 0 20 Apr 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 82 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 76 71 0 23 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 86 732 0 15 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing Qinghao Hu Peisong Wang Jian Cheng MQ 62 98 0 08 Feb 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 162 3,141 0 15 Dec 2017
Adaptive Quantization for Deep Neural Network Yiren Zhou Seyed-Mohsen Moosavi-Dezfooli Ngai-Man Cheung P. Frossard MQ 73 184 0 04 Dec 2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 65 331 0 15 Nov 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 56 123 0 01 Nov 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 80 267 0 04 Sep 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 63 288 0 24 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 53 37 0 13 Jul 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 55 211 0 07 Jun 2017
The High-Dimensional Geometry of Binary Neural Networks Alexander G. Anderson C. P. Berg MQ 65 76 0 19 May 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 139 1,036 0 04 Dec 2016