Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

6 June 2015

Papers citing "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

31 / 1,181 papers shown

Title
Learning a Predictive Model for Music Using PULSE Jonas Langhabel 6 1 0 26 Sep 2017
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning Kunal Menda Katherine Driggs-Campbell Mykel J. Kochenderfer 19 28 0 18 Sep 2017
Bayesian Semisupervised Learning with Deep Generative Models Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV GAN 22 27 0 29 Jun 2017
Neural Domain Adaptation for Biomedical Question Answering Georg Wiese Dirk Weissenborn Mariana Neves MedIm OOD 16 112 0 12 Jun 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 25 177 0 06 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard E. Turner VLM 18 71 0 01 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Extending Defensive Distillation Nicolas Papernot Patrick D. McDaniel AAML 19 118 0 15 May 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences Yingzhen Li Y. Gal UQCV BDL 38 195 0 08 Mar 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 25 311 0 03 Feb 2017
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection D. Marmanis Konrad Schindler Jan Dirk Wegner S. Galliani Mihai Datcu Uwe Stilla 29 603 0 05 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection Jonathan Shen Noranart Vesdapunt Vishnu Naresh Boddeti Kris M. Kitani 9 29 0 01 Dec 2016
Exploration for Multi-task Reinforcement Learning with Deep Generative Models Sai Praveen Bangaru J. S. Suhas Balaraman Ravindran 10 7 0 29 Nov 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 45 41 0 23 Nov 2016
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition Brandon RichardWebster Samuel E. Anthony Walter J. Scheirer 21 72 0 19 Nov 2016
Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat A. Wilson Yunus Saatchi Zhiting Hu Eric P. Xing BDL 9 104 0 27 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 12 141 0 14 Oct 2016
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition René Grzeszick Sebastian Sudholt G. Fink UQCV 28 4 0 26 Sep 2016
Using the Output Embedding to Improve Language Models Ofir Press Lior Wolf 13 726 0 20 Aug 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 19 1,067 0 16 Aug 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks W. Pan Hao Dong Yike Guo 16 35 0 23 Jun 2016
Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics Chao Ma Tianchenghou Bin Lan Jinhui Xu Zhenhua Zhang 14 0 0 24 Mar 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 22 319 0 23 Dec 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data Ankur Handa Viorica Patraucean Vijay Badrinarayanan Simon Stent R. Cipolla 3DPC 3DV 21 230 0 22 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 16 130 0 19 Nov 2015
A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg AI4CE 39 1,128 0 02 Oct 2015
Dropout as data augmentation Xavier Bouthillier K. Konda Pascal Vincent Roland Memisevic 21 133 0 29 Jun 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 30 257 0 14 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 32 1,492 0 08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 40 26 0 14 Nov 2014