Training wide residual networks for deployment using a single bit for each weight

23 February 2018

Papers citing "Training wide residual networks for deployment using a single bit for each weight"

27 / 27 papers shown

Title
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A SurveyEngineering applications of artificial intelligence (EAAI), 2024 Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 187 12 0 02 May 2024
Hyperspherical Quantization: Toward Smaller and More Accurate ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dan Liu X. Chen Chen Ma Xue Liu MQ 141 4 0 24 Dec 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Louis Leconte S. Schechtman Eric Moulines 195 4 0 07 Nov 2022
UDC: Unified DNAS for Compressible TinyML ModelsNeural Information Processing Systems (NeurIPS), 2022 Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 234 16 0 15 Jan 2022
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 168 0 0 19 Nov 2021
Pruning Ternary Quantization Danyang Liu Xiangshan Chen Jie Fu Chen Ma Xue Liu MQ 316 0 0 23 Jul 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN AcceleratorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 188 19 0 16 Apr 2021
Sparsity-Control Ternary Weight NetworksNeural Networks (NN), 2020 Xiang Deng Zhongfei Zhang MQ 207 8 0 01 Nov 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural NetworksInternational Conference on Learning Representations (ICLR), 2020 Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 221 10 0 26 Oct 2020
Binarized Neural Architecture Search for Efficient Object RecognitionInternational Journal of Computer Vision (IJCV), 2020 Hanlin Chen Lian Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu Rongrong Ji David Doermann G. Guo MQ 118 19 0 08 Sep 2020
Training with Quantization Noise for Extreme Model CompressionInternational Conference on Learning Representations (ICLR), 2020 Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Edouard Grave Armand Joulin MQ 235 256 0 15 Apr 2020
Improved Gradient based Adversarial Attacks for Quantized NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Kartik Gupta Thalaiyasingam Ajanthan MQ 102 21 0 30 Mar 2020
Iterative Averaging in the Quest for Best Test ErrorJournal of machine learning research (JMLR), 2020 Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 209 3 0 02 Mar 2020
Sparse Weight Activation TrainingNeural Information Processing Systems (NeurIPS), 2020 Md Aamir Raihan Tor M. Aamodt 266 77 0 07 Jan 2020
Layerwise Noise Maximisation to Train Low-Energy Deep Neural NetworksInternational Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019 Sébastien Henwood François Leduc-Primeau Yvon Savaria 91 10 0 23 Dec 2019
Binarized Neural Architecture SearchAAAI Conference on Artificial Intelligence (AAAI), 2019 Hanlin Chen Lian Zhuo Baochang Zhang Xiawu Zheng Jianzhuang Liu David Doermann Rongrong Ji MQ 184 27 0 25 Nov 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back PropagationComputer Vision and Pattern Recognition (CVPR), 2019 Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann MQ 226 79 0 24 Oct 2019
Mirror Descent View for Neural Network QuantizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Thalaiyasingam Ajanthan Kartik Gupta Juil Sock Leonid Sigal P. Dokania MQ 198 27 0 18 Oct 2019
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systemsAsia-Pacific Conference on Intelligent Robot Systems (AIRS), 2019 Mark D Mcdonnell Hesham Mostafa Runchun Wang Andre van Schaik MQ 122 2 0 16 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural NetworksInternational Conference on Learning Representations (ICLR), 2019 Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Edouard Grave MQ 357 154 0 12 Jul 2019
Modulated binary cliquenet Jinpeng Xia Jiasong Wu Youyong Kong Pinzheng Zhang L. Senhadji H. Shu MQ 81 1 0 27 Feb 2019
Efficient Memory Management for GPU-based Deep Learning Systems Junzhe Zhang Sai-Ho Yeung Yao Shu Bingsheng He Wei Wang 130 45 0 19 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 328 329 0 15 Feb 2019
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II) A. Goncharenko Andrey Denisov S. Alyamkin Evgeny Terentev MQ 185 21 0 19 Dec 2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation Jiaxin Gu Ce Li Baochang Zhang Jiawei Han Xianbin Cao Jianzhuang Liu David Doermann 3DV 446 88 0 30 Nov 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 154 53 0 10 Sep 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 143 80 0 17 Jul 2018