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"

50 / 1,102 papers shown

Title
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 12 7 0 19 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Badri N. Patro Mayank Lunayach Shivansh Patel Vinay P. Namboodiri FAtt UQCV 19 76 0 17 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 26 205 0 16 Aug 2019
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Gal Mishne 15 37 0 07 Aug 2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers Samuel Budd Matthew Sinclair Bishesh Khanal Jacqueline Matthew D. Lloyd A. Gómez N. Toussaint E. C. Robinson Bernhard Kainz 15 33 0 07 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 21 139 0 01 Aug 2019
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network Nao Mishima Tatsuo Kozakaya Akihisa Moriya R. Okada S. Hiura 3DV 18 3 0 01 Aug 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 23 17 0 22 Jul 2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling Yuta Hiasa Y. Otake Masaki Takao Takeshi Ogawa Nobuhiko Sugano Yoshinobu Sato 11 109 0 21 Jul 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 12 141 0 17 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 289 0 16 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 12 212 0 13 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 13 73 0 08 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 22 134 0 07 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 19 57 0 01 Jul 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 14 41 0 27 Jun 2019
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 16 20 0 25 Jun 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation Jun Wen Nenggan Zheng Junsong Yuan Zhefeng Gong Changyou Chen OOD UQCV 11 49 0 24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 24 123 0 23 Jun 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni S. Kreiss Alexandre Alahi UQCV 25 117 0 14 Jun 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training William Harvey Michael Teng Frank D. Wood 18 4 0 13 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 6 7 0 12 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 15 46 0 12 Jun 2019
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 19 8 0 10 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 14 374 0 10 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard E. Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 33 240 0 06 Jun 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 16 13 0 30 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 19 14 0 27 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 15 25 0 24 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 24 8 0 23 May 2019
An iterative scheme for feature based positioning using a weighted dissimilarity measure Caifa Zhou A. Wieser 13 1 0 20 May 2019
Constraining the Parameters of High-Dimensional Models with Active Learning S. Caron Tom Heskes Sydney Otten B. Stienen AI4CE 12 27 0 19 May 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 17 108 0 15 May 2019
Deep Neural Networks for Marine Debris Detection in Sonar Images Matias Valdenegro-Toro 19 25 0 13 May 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 10 652 0 09 May 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark J. F. Gales UQCV 17 230 0 30 Apr 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 13 91 0 30 Apr 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 11 19 0 26 Apr 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 6 134 0 26 Apr 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 21 20 0 19 Apr 2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks K. Posch J. Pilz UQCV BDL 9 28 0 02 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 21 570 0 31 Mar 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN Alireza Koochali P. Schichtel Sheraz Ahmed Andreas Dengel AI4TS 14 72 0 29 Mar 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra L. Vig Gautam M. Shroff UQCV 17 15 0 23 Mar 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 9 17 0 21 Mar 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 13 115 0 09 Mar 2019
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure Huitong Pan Brandon Yushan Feng Quan Chen C. Meyer Xue Feng 10 16 0 06 Mar 2019
Robust Grasp Planning Over Uncertain Shape Completions Jens Lundell Francesco Verdoja Ville Kyrki 3DPC 9 57 0 02 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 19 4 0 27 Feb 2019
Variational Inference to Measure Model Uncertainty in Deep Neural Networks K. Posch J. Steinbrener J. Pilz UQCV BDL 12 27 0 26 Feb 2019