Bayesian Recurrent Neural Networks

10 April 2017

Papers citing "Bayesian Recurrent Neural Networks"

31 / 31 papers shown

Title
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 50 0 0 16 May 2025
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 49 171 0 15 Nov 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 100 1,448 0 06 Dec 2016
Improved Image Captioning via Policy Gradient optimization of SPIDEr Siqi Liu Zhenhai Zhu Ning Ye S. Guadarrama Kevin Patrick Murphy 116 444 0 01 Dec 2016
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling Zhe Gan Chunyuan Li Changyou Chen Yunchen Pu Qinliang Su Lawrence Carin BDL UQCV 71 41 0 23 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 788 6,768 0 26 Sep 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 142 2,783 0 26 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 56 852 0 21 Sep 2016
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 74 44 0 19 Jul 2016
Recurrent Highway Networks J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 56 414 0 12 Jul 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 71 2,000 0 14 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 38 256 0 06 Jun 2016
Exploring the Limits of Language Modeling Rafal Jozefowicz Oriol Vinyals M. Schuster Noam M. Shazeer Yonghui Wu 93 1,143 0 07 Feb 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 75 70 0 31 Dec 2015
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 58 325 0 23 Dec 2015
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 107 1,644 0 16 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper ... Chong-Jun Wang Bo Xiao Dani Yogatama J. Zhan Zhenyao Zhu 93 2,965 0 08 Dec 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 49 334 0 07 Nov 2015
Character-Aware Neural Language Models Yoon Kim Yacine Jernite David Sontag Alexander M. Rush 59 1,665 0 26 Aug 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 139 1,500 0 08 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 61 1,250 0 07 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 431 9,233 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 102 1,878 0 20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 60 940 0 18 Feb 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 42 126 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 632 149,474 0 22 Dec 2014
Variational Recurrent Auto-Encoders Otto Fabius Joost R. van Amersfoort GAN BDL DRL 47 245 0 20 Dec 2014
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 52 274 0 27 Nov 2014
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 95 2,768 0 08 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 215 43,290 0 01 May 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 336 16,972 0 20 Dec 2013