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Bayesian Compression for Deep Learning

24 May 2017

Papers citing "Bayesian Compression for Deep Learning"

49 / 49 papers shown

Title
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 76 0 0 31 Oct 2024
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 184 3 0 17 Apr 2023
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng Xiao Zhang F. Liang Guang Lin BDL 113 44 0 23 Oct 2019
Ternary Neural Networks with Fine-Grained Quantization Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey MQ 97 111 0 02 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units Shaoshuai Shi Xiaowen Chu 101 43 0 25 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,892 0 17 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 120 3,026 0 27 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 50 288 0 25 Mar 2017
Low Precision Neural Networks using Subband Decomposition S. Chai Aswin Raghavan David C. Zhang Mohamed R. Amer Timothy J. Shields 51 2 0 24 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 157 461 0 06 Mar 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 169 419 0 13 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 150 831 0 19 Jan 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 139 1,036 0 04 Dec 2016
Generalized Dropout Suraj Srinivas R. Venkatesh Babu BDL 57 47 0 21 Nov 2016
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 91 742 0 16 Nov 2016
Accelerating Deep Convolutional Networks using low-precision and sparsity Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr 78 135 0 02 Oct 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 84 1,059 0 16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 187 2,341 0 12 Aug 2016
Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks D. Lin S. Talathi 70 45 0 08 Jul 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 425 466 0 02 Jul 2016
Deep neural networks are robust to weight binarization and other non-linear distortions P. Merolla R. Appuswamy John V. Arthur S. K. Esser D. Modha OOD MQ 88 96 0 07 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,000 0 23 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 67 127 0 20 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,369 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 289 11,150 0 14 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 156 7,501 0 24 Feb 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 92 8 0 11 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 204 1,348 0 08 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 99 915 0 06 Feb 2016
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
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks Eric T. Nalisnick Anima Anandkumar Padhraic Smyth 101 19 0 10 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,700 0 08 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,517 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Automatic Relevance Determination For Deep Generative Models Theofanis Karaletsos Gunnar Rätsch 66 8 0 28 May 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,892 0 20 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 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
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 341 18,651 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 176 1,171 0 18 Dec 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 173 2,119 0 21 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 211 1,320 0 03 Jun 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 463 7,667 0 03 Jul 2012
Generalized Beta Mixtures of Gaussians Artin Armagan David B. Dunson M. Clyde 84 153 0 25 Jul 2011