Variational Bayesian Dropout with a Hierarchical Prior

19 November 2018

Lei Zhang

Papers citing "Variational Bayesian Dropout with a Hierarchical Prior"

23 / 23 papers shown

Title
Variational Bayesian dropout: pitfalls and fixes Jiri Hron A. G. Matthews Zoubin Ghahramani BDL 60 67 0 05 Jul 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 36 78 0 13 Jun 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 49 181 0 28 Feb 2018
Overpruning in Variational Bayesian Neural Networks Brian L. Trippe Richard Turner BDL 54 53 0 18 Jan 2018
Variational Gaussian Dropout is not Bayesian Jiri Hron A. G. Matthews Zoubin Ghahramani 45 47 0 08 Nov 2017
Adversarial Dropout for Supervised and Semi-supervised Learning Sungrae Park Jun-Keon Park Su-Jin Shin Il-Chul Moon GAN 60 174 0 12 Jul 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 161 479 0 24 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 176 591 0 22 May 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise Kirill Neklyudov Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 135 188 0 20 May 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 164 417 0 13 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 139 828 0 19 Jan 2017
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur Dong Gong Jie Yang Lingqiao Liu Yanning Zhang Ian Reid Chunhua Shen Anton Van Den Hengel Javen Qinfeng Shi 60 392 0 08 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 336 4,625 0 10 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 764 36,781 0 25 Aug 2016
Dynamic Network Surgery for Efficient DNNs Yiwen Guo Anbang Yao Yurong Chen 79 1,059 0 16 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 176 2,337 0 12 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 83 1,064 0 09 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,669 0 08 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 220 1,510 0 08 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 447 7,660 0 03 Jul 2012