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"

9 / 9 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 39 0 0 05 May 2025
Are you using test log-likelihood correctly? Sameer K. Deshpande Soumya K. Ghosh Tin D. Nguyen Tamara Broderick 19 7 0 01 Dec 2022
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Chandrajit L. Bajaj Qiang Liu 19 62 0 28 Oct 2019
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 16 44 0 12 Jun 2018
Confidence Modeling for Neural Semantic Parsing Li Dong Chris Quirk Mirella Lapata 9 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 22 96 0 02 Nov 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 32 158 0 21 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 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 251 7,633 0 03 Jul 2012