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Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

1 July 2019

Papers citing "Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning"

22 / 22 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 488 10,591 0 17 Feb 2020
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 144 247 0 06 Jun 2019
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 104 2,505 0 19 Apr 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 57 241 0 14 Mar 2019
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 54 66 0 18 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 87 20 0 07 Feb 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 154 271 0 13 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 56 136 0 05 Jun 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 93 308 0 24 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 114 384 0 03 Apr 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 105 1,144 0 30 Jan 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 92 734 0 29 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 79 897 0 30 Jun 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 65 186 0 10 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 62 257 0 15 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 836 9,346 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,892 0 20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 134 945 0 18 Feb 2015