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Training Quantized Nets: A Deeper Understanding

7 June 2017

Hao Li

Papers citing "Training Quantized Nets: A Deeper Understanding"

50 / 116 papers shown

Title
Secure Quantized Training for Deep Learning Marcel Keller Ke Sun MQ 64 68 0 01 Jul 2021
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration Qigong Sun Xiufang Li Fanhua Shang Hongying Liu Kan Yang L. Jiao Zhouchen Lin MQ 52 0 0 18 Jun 2021
Adapting by Pruning: A Case Study on BERT Yang Gao Nicolo Colombo Wen Wang 49 17 0 07 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 68 18 0 16 Apr 2021
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network Qi Zhao Shuchang Lyu Zhiwei Zhang Ting-Bing Xu Guangliang Cheng 33 2 0 01 Mar 2021
QuPeL: Quantized Personalization with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML 63 5 0 23 Feb 2021
Universal Approximation Theorems of Fully Connected Binarized Neural Networks Mikail Yayla Mario Günzel Burim Ramosaj Jian-Jia Chen AAML MQ 13 1 0 04 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 101 3 0 04 Jan 2021
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission Rui Chen Liang Li Kaiping Xue Chi Zhang Miao Pan Yuguang Fang MQ 74 40 0 21 Dec 2020
Recurrence of Optimum for Training Weight and Activation Quantized Networks Ziang Long Penghang Yin Jack Xin MQ 61 4 0 10 Dec 2020
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification Ziang Long Penghang Yin Jack Xin MQ 67 4 0 23 Nov 2020
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer Chen Zhu Zheng Xu Ali Shafahi Manli Shu Amin Ghiasi Tom Goldstein MQ 61 3 0 14 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
FleXOR: Trainable Fractional Quantization Dongsoo Lee S. Kwon Byeongwook Kim Yongkweon Jeon Baeseong Park Jeongin Yun MQ 52 13 0 09 Sep 2020
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 35 3 0 06 Sep 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 35 3 0 31 Aug 2020
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic Renkun Ni Hong-Min Chu Oscar Castañeda Ping Yeh-Chiang Christoph Studer Tom Goldstein MQ 56 14 0 26 Jul 2020
Bit Error Robustness for Energy-Efficient DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele MQ 52 1 0 24 Jun 2020
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 163 204 0 12 Jun 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 78 71 0 30 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 143 475 0 31 Mar 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD Yucheng Lu Christopher De Sa MQ 73 50 0 26 Feb 2020
Quantized Neural Network Inference with Precision Batching Maximilian Lam Zachary Yedidia Colby R. Banbury Vijay Janapa Reddi MQ 43 1 0 26 Feb 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 84 51 0 07 Jan 2020
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 97 152 0 29 Dec 2019
Trajectory growth lower bounds for random sparse deep ReLU networks Ilan Price Jared Tanner 49 5 0 25 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 57 34 0 05 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 129 144 0 02 Nov 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 136 17 0 29 Oct 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip Torr Leonid Sigal P. Dokania MQ 72 25 0 18 Oct 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 99 460 0 14 Aug 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adria Gascon 102 216 0 08 Jul 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 36 12 0 19 Jun 2019
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference Michele Covell David Marwood S. Baluja Nick Johnston MQ 39 7 0 11 Jun 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations Debraj Basu Deepesh Data C. Karakuş Suhas Diggavi MQ 74 408 0 06 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization K. Helwegen James Widdicombe Lukas Geiger Zechun Liu K. Cheng Roeland Nusselder MQ 71 114 0 05 Jun 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off Yaniv Blumenfeld D. Gilboa Daniel Soudry MQ 82 14 0 03 Jun 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 Qigong Sun Fanhua Shang Kan Yang Xiufang Li Yan Ren L. Jiao MQ 70 12 0 31 May 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 85 97 0 26 Apr 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 154 320 0 13 Mar 2019
Towards Hardware Implementation of Neural Network-based Communication Algorithms Fayçal Ait Aoudia J. Hoydis 57 11 0 19 Feb 2019
Compressing GANs using Knowledge Distillation Angeline Aguinaldo Ping Yeh-Chiang Alex Gain Ameya D. Patil Kolten Pearson Soheil Feizi GAN 77 86 0 01 Feb 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 85 59 0 21 Jan 2019
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network Yinghao Xu Xin Dong Yudian Li Hao Su 63 27 0 11 Dec 2018
Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 99 42 0 06 Dec 2018
DNQ: Dynamic Network Quantization Yuhui Xu Shuai Zhang Y. Qi Jiaxian Guo Weiyao Lin H. Xiong MQ 45 6 0 06 Dec 2018
Efficient and Robust Machine Learning for Real-World Systems Franz Pernkopf Wolfgang Roth Matthias Zöhrer Lukas Pfeifenberger Günther Schindler Holger Froening Sebastian Tschiatschek Robert Peharz Matthew Mattina Zoubin Ghahramani OOD 29 1 0 05 Dec 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 98 117 0 01 Oct 2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S. Baluja David Marwood Michele Covell Nick Johnston MQ 38 8 0 24 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 66 31 0 01 Sep 2018