Scalable Bayesian Learning of Recurrent Neural Networks for Language
Modeling

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling

23 November 2016

Lawrence Carin

Papers citing "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"

10 / 10 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 41 0 0 05 May 2025
Are you using test log-likelihood correctly? Sameer K. Deshpande Soumya K. Ghosh Tin D. Nguyen Tamara Broderick 27 7 0 01 Dec 2022
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 31 14 0 28 Aug 2022
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Chandrajit L. Bajaj Qiang Liu 25 62 0 28 Oct 2019
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 21 44 0 12 Jun 2018
Confidence Modeling for Neural Semantic Parsing Li Dong Chris Quirk Mirella Lapata 14 82 0 11 May 2018
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data Patrick L. McDermott C. Wikle BDL UQCV 30 96 0 02 Nov 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 34 158 0 21 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012