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?"

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Title
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 43 51 0 04 Dec 2019
Regression with Uncertainty Quantification in Large Scale Complex Data Nicholas Wilkins Michael Johnson Ifeoma Nwogu UQCV BDL 21 0 0 04 Dec 2019
Bayesian-Deep-Learning Estimation of Earthquake Location from Single-Station Observations S. Mousavi G. Beroza BDL 9 102 0 03 Dec 2019
Deep Bayesian Active Learning for Multiple Correct Outputs Khaled Jedoui Ranjay Krishna Michael S. Bernstein Li Fei-Fei BDL OOD UQCV 29 14 0 02 Dec 2019
View-Invariant Probabilistic Embedding for Human Pose Jennifer J. Sun Jiaping Zhao Liang-Chieh Chen Florian Schroff Hartwig Adam Ting Liu 27 77 0 02 Dec 2019
Image segmentation of liver stage malaria infection with spatial uncertainty sampling A. Soleimany Harini Suresh Jose Javier Gonzalez Ortiz Divya Shanmugam N. Gural John Guttag S. Bhatia 14 4 0 30 Nov 2019
Point Cloud Instance Segmentation using Probabilistic Embeddings Biao Zhang Peter Wonka 3DPC 25 66 0 30 Nov 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 24 265 0 29 Nov 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 27 9 0 26 Nov 2019
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild Shangzhe Wu Christian Rupprecht Andrea Vedaldi OCL 38 310 0 25 Nov 2019
ART: A machine learning Automated Recommendation Tool for synthetic biology Tijana Radivojević Zak Costello Kenneth Workman Hector Garcia Martin 11 9 0 25 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Zhijie Deng Yucen Luo Jun Zhu Bo Zhang UQCV BDL 19 2 0 22 Nov 2019
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons Ligong Han Ruijiang Gao Mun Kim Xin Tao Bo Liu Dimitris N. Metaxas 27 14 0 21 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 43 15 0 20 Nov 2019
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks Héctor J. Hortúa Riccardo Volpi D. Marinelli Luigi Malagò BDL 27 23 0 19 Nov 2019
Multi-Task Learning of Height and Semantics from Aerial Images Marcela Carvalho Bertrand Le Saux Pauline Trouvé-Peloux F. Champagnat Andrés Almansa 27 47 0 18 Nov 2019
Signed Input Regularization Saeid Asgari Taghanaki Kumar Abhishek Ghassan Hamarneh AAML 26 1 0 16 Nov 2019
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance Luca Della Libera BDL UQCV 15 1 0 14 Nov 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 19 182 0 13 Nov 2019
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery Amanda J. Minnich K. McLoughlin Margaret J. Tse Jason Deng Andrew Weber ... Bharath Ramsundar T. Rush Stacie Calad-Thomson J. Brase Jonathan E. Allen 24 68 0 13 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 37 657 0 06 Nov 2019
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation Junjiao Tian W. Cheung Nathan Glaser Yen-Cheng Liu Z. Kira 27 26 0 06 Nov 2019
Out of distribution detection for intra-operative functional imaging T. Adler Leonardo Ayala Lynton Ardizzone H. Kenngott A. Vemuri Beat P. Müller-Stich Carsten Rother Ullrich Kothe Lena Maier-Hein OOD 23 5 0 05 Nov 2019
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties Xavier Gitiaux S. Maloney A. Jungbluth Carl Shneider P. Wright A. G. Baydin Michel Deudon Y. Gal Freddie Kalaitzis A. Muñoz-Jaramillo 13 0 0 04 Nov 2019
Technical Report: Co-learning of geometry and semantics for online 3D mapping Marcela Carvalho Maxime Ferrera Alexandre Boulch Julien Moras Bertrand Le Saux Pauline Trouvé-Peloux 3DV 3DPC 22 6 0 04 Nov 2019
Generalized Learning with Rejection for Classification and Regression Problems Amina Asif F. Minhas 10 3 0 03 Nov 2019
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment Zhibin Liao H. Girgis A. Abdi H. Vaseli J. Hetherington R. Rohling K. Gin T. Tsang Purang Abolmaesumi UQCV OOD 19 40 0 02 Nov 2019
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables Yaniv Yacoby Weiwei Pan Finale Doshi-Velez BDL UQCV 11 1 0 01 Nov 2019
Multivariate Uncertainty in Deep Learning Rebecca L. Russell Christopher P. Reale BDL UQCV 25 68 0 31 Oct 2019
Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning Bindya Venkatesh Jayaraman J. Thiagarajan UQCV 15 6 0 30 Oct 2019
Learn-By-Calibrating: Using Calibration as a Training Objective Jayaraman J. Thiagarajan Bindya Venkatesh Deepta Rajan UQCV 17 6 0 30 Oct 2019
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing Kate Duffy T. Vandal Weile Wang R. Nemani A. Ganguly 16 8 0 29 Oct 2019
Towards calibrated and scalable uncertainty representations for neural networks Nabeel Seedat Christopher Kanan UQCV 42 19 0 28 Oct 2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method Vishwanath A. Sindagi R. Yasarla Vishal M. Patel 23 87 0 28 Oct 2019
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians Axel Brando Jose A. Rodríguez-Serrano Jordi Vitrià Alberto Rubio 14 21 0 27 Oct 2019
$DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images$ DR $\vert$ GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images Teresa Araújo Guilherme Aresta Luís Mendonça S. Penas Carolina Maia Â. Carneiro A. Mendonça A. Campilho MedIm 16 109 0 25 Oct 2019
Learning an Uncertainty-Aware Object Detector for Autonomous Driving Gregory P. Meyer Niranjan Thakurdesai UQCV 29 60 0 24 Oct 2019
Accurate Layerwise Interpretable Competence Estimation Vickram Rajendran Will LeVine 33 10 0 24 Oct 2019
Learning Resilient Behaviors for Navigation Under Uncertainty Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan Ruigang Yang Tianyi Zhou 21 18 0 22 Oct 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 89 1,366 0 21 Oct 2019
Uncertainty-aware Sensitivity Analysis Using Rényi Divergences Topi Paananen Michael Riis Andersen Aki Vehtari 33 3 0 17 Oct 2019
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 38 35 0 17 Oct 2019
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks Xujiang Zhao Yuzhe Ou Lance M. Kaplan Feng Chen Jin-Hee Cho EDL BDL UQCV 26 16 0 15 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 46 654 0 12 Oct 2019
Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties Augustin Prado Ravinath Kausik Lalitha Venkataramanan 8 4 0 10 Oct 2019
Continual Learning Using Bayesian Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz BDL 19 38 0 09 Oct 2019
NGBoost: Natural Gradient Boosting for Probabilistic Prediction Tony Duan Anand Avati D. Ding Khanh K. Thai S. Basu A. Ng Alejandro Schuler BDL 14 296 0 08 Oct 2019
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction Gabriele Scalia Colin A. Grambow Barbara Pernici Yi‐Pei Li W. Green BDL 33 8 0 07 Oct 2019
Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448 Krystian Radlak Michal Szczepankiewicz Tim Jones Piotr Serwa 25 1 0 07 Oct 2019
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 30 418 0 07 Oct 2019