What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017

Alex Kendall

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,214 papers shown

Title
High-Quality Self-Supervised Deep Image Denoising S. Laine Tero Karras J. Lehtinen Timo Aila 6 336 0 29 Jan 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems Ahmed Taha Yi-Ting Chen Xitong Yang Teruhisa Misu L. Davis UQCV 28 9 0 23 Jan 2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks Richard McKinley Rik Wepfer F. Aschwanden L. Grunder Raphaela Muri ... M. Reyes A. Salmen A. Chan F. Wagner Roland Wiest 24 15 0 22 Jan 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning Lu Liu R. Tan 27 32 0 17 Jan 2019
Joint Spatial and Layer Attention for Convolutional Networks Tony Joseph Konstantinos G. Derpanis F. Qureshi 21 0 0 16 Jan 2019
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections Xin Huang Stephen G. McGill B. Williams L. Fletcher Guy Rosman 14 74 0 16 Jan 2019
Multi-modal Ensemble Classification for Generalized Zero Shot Learning Rafael Felix Michele Sasdelli Ian Reid G. Carneiro VLM 24 20 0 15 Jan 2019
Input Prioritization for Testing Neural Networks Taejoon Byun Vaibhav Sharma Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer AAML 29 67 0 11 Jan 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera Chao Liu Liang Feng Kihwan Kim S. Narasimhan Jan Kautz 3DV 20 136 0 09 Jan 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 34 170 0 08 Jan 2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien UQCV 27 24 0 08 Jan 2019
Weakly Supervised Active Learning with Cluster Annotation Fábio Perez R. Lebret Karl Aberer 19 10 0 31 Dec 2018
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions Ehsan Abbasnejad Qi Wu Javen Qinfeng Shi Anton Van Den Hengel 22 20 0 16 Dec 2018
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data S. M. Kia A. Marquand 24 25 0 12 Dec 2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation Kohei Watanabe Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada MDE 24 11 0 11 Dec 2018
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN H. P. Do Yi Guo A. Yoon K. Nayak 26 22 0 10 Dec 2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu Karan Sapra F. Reda Kevin J. Shih Shawn D. Newsam Andrew Tao Bryan Catanzaro 56 382 0 04 Dec 2018
Knowing what you know in brain segmentation using Bayesian deep neural networks Patrick McClure Nao Rho J. Lee Jakub R. Kaczmarzyk C. Zheng Satrajit S. Ghosh D. Nielson Adam G. Thomas P. Bandettini Francisco Pereira UQCV 3DV BDL 24 52 0 03 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 33 220 0 30 Nov 2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies Keuntaek Lee Ziyi Wang Bogdan I. Vlahov Harleen K. Brar Evangelos A. Theodorou BDL UQCV 6 28 0 30 Nov 2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu Ke Wang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 183 124 0 29 Nov 2018
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM Pranav Ganti Steven L. Waslander 17 24 0 29 Nov 2018
Calibrating Uncertainties in Object Localization Task Buu Phan Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Taylor Denouden Sachin Vernekar UQCV 24 22 0 27 Nov 2018
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 38 111 0 27 Nov 2018
Deep Bayesian Self-Training Fabio De Sousa Ribeiro Francesco Calivá M. Swainson Kjartan Gudmundsson Georgios Leontidis Stefanos D. Kollias UQCV 16 1 0 26 Nov 2018
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging Seong Jae Hwang Zirui Tao Won Hwa Kim Vikas Singh MedIm 19 12 0 24 Nov 2018
Surrogate-assisted parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain Arpit Kapoor Ashray Aman BDL 19 8 0 21 Nov 2018
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis Adam Kortylewski Mario Wieser Andreas Morel-Forster Aleksander Wieczorek S. Parbhoo Volker Roth T. Vetter GAN CVBM 30 12 0 19 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Uncertainty quantification of molecular property prediction using Bayesian neural network models Seongok Ryu Yongchan Kwon W. Kim BDL 21 2 0 19 Nov 2018
Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao William Yang Wang UQCV BDL 45 143 0 18 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations Daniel T. Chang DRL GAN BDL 36 12 0 15 Nov 2018
Langevin-gradient parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain R. Deo Sally Cripps BDL 19 45 0 11 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 24 19 0 09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 11 34 0 08 Nov 2018
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization Matthew Maciejewski J. Álvarez Adam Lesnikowski BDL UQCV 19 3 0 06 Nov 2018
Large-scale Heteroscedastic Regression via Gaussian Process Haitao Liu Yew-Soon Ong Jianfei Cai BDL 21 26 0 03 Nov 2018
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 31 25 0 02 Nov 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 22 165 0 19 Oct 2018
Probably Unknown: Deep Inverse Sensor Modelling In Radar Rob Weston Sarah H. Cen Paul Newman Ingmar Posner 26 75 0 18 Oct 2018
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 17 21 0 18 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 19 151 0 18 Oct 2018
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter Petteri Teikari Raymond P. Najjar L. Schmetterer D. Milea MedIm 27 27 0 13 Oct 2018
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation Jörg Wagner Volker Fischer Michael Herman Sven Behnke 22 1 0 09 Oct 2018
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets Jörg Wagner Volker Fischer Michael Herman Sven Behnke 16 1 0 05 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
Inhibited Softmax for Uncertainty Estimation in Neural Networks Marcin Mo.zejko Mateusz Susik Rafal Karczewski UQCV 16 29 0 03 Oct 2018
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV 25 46 0 01 Oct 2018
Modeling Uncertainty with Hedged Instance Embedding Seong Joon Oh Kevin Patrick Murphy Jiyan Pan Joseph Roth Florian Schroff Andrew C. Gallagher UQCV 352 69 0 30 Sep 2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning Daniel Coelho De Castro Jeremy Tan Bernhard Kainz E. Konukoglu Ben Glocker DRL 22 69 0 27 Sep 2018