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
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 21 110 0 21 Jul 2019
Mitigating Uncertainty in Document Classification Xuchao Zhang Fanglan Chen Chang-Tien Lu Naren Ramakrishnan 28 42 0 17 Jul 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Lequan Yu Shujun Wang Xuelong Li Chi-Wing Fu Pheng-Ann Heng UQCV 14 827 0 16 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 290 0 16 Jul 2019
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach Riyi Qiu Yugang Jia M. Hadzikadic Michael F Dulin Xi Niu Xin Wang BDL 9 7 0 14 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams Namuk Park Taekyu Lee Songkuk Kim MQ 22 9 0 12 Jul 2019
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data Xihaier Luo A. Kareem BDL UQCV 13 28 0 08 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 30 134 0 07 Jul 2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets Reuben Dorent Wenqi Li J. Ekanayake Sebastien Ourselin Tom Vercauteren 28 4 0 07 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations Shi Hu Daniel E. Worrall Stefan Knegt Bastiaan S. Veeling Henkjan Huisman Max Welling UQCV 19 94 0 03 Jul 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth D. Neven Bert De Brabandere Marc Proesmans Luc Van Gool SSeg ISeg 25 242 0 26 Jun 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation Jun Wen Nenggan Zheng Junsong Yuan Zhefeng Gong Changyou Chen OOD UQCV 24 49 0 24 Jun 2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout Zhilu Zhang Adrian Dalca M. Sabuncu UQCV BDL 21 47 0 23 Jun 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions Joey Hong Benjamin Sapp James Philbin 49 241 0 21 Jun 2019
Efficient Set-Valued Prediction in Multi-Class Classification Thomas Mortier Marek Wydmuch Krzysztof Dembczyñski Eyke Hüllermeier Willem Waegeman 24 4 0 19 Jun 2019
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss Eskil Jörgensen Christopher Zach Fredrik Kahl 3DPC 50 76 0 19 Jun 2019
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks Yitong Li Wenying Ji 31 5 0 14 Jun 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni S. Kreiss Alexandre Alahi UQCV 33 117 0 14 Jun 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 10 269 0 13 Jun 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates Zhihao Xia Patrick Sullivan Ayan Chakrabarti UQCV VLM MDE 22 34 0 13 Jun 2019
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining R. Yasarla Vishal M. Patel 16 266 0 12 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 47 79 0 12 Jun 2019
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks Qingyang Wu He Li Lexin Li Zhou Yu BDL UQCV 9 7 0 11 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 18 117 0 10 Jun 2019
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions K. Fang Chaopeng Shen Daniel Kifer UD 18 10 0 10 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation V. Kurmi Shanu Kumar Vinay P. Namboodiri OOD 27 108 0 08 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 22 155 0 07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 89 1,662 0 06 Jun 2019
Uncertainty-based graph convolutional networks for organ segmentation refinement R. Soberanis-Mukul Nassir Navab Shadi Albarqouni SSeg MedIm 28 12 0 05 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV BDL 30 296 0 04 Jun 2019
Reliable training and estimation of variance networks N. Detlefsen Martin Jørgensen Søren Hauberg UQCV 19 86 0 04 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 14 1 0 03 Jun 2019
Computing Valid p-values for Image Segmentation by Selective Inference Kosuke Tanizaki Noriaki Hashimoto Yu Inatsu H. Hontani Ichiro Takeuchi 6 35 0 03 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 22 3 0 30 May 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 27 13 0 29 May 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 24 134 0 29 May 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks Dan Levi Liran Gispan Niv Giladi Ethan Fetaya UQCV 18 142 0 28 May 2019
Generative Parameter Sampler For Scalable Uncertainty Quantification Minsuk Shin Young Lee Jun S. Liu 27 0 0 28 May 2019
Radial Prediction Layer Christian Herta Benjamin Voigt 11 1 0 27 May 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks S. Thulasidasan Gopinath Chennupati J. Bilmes Tanmoy Bhattacharya S. Michalak UQCV 34 529 0 27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 19 32 0 26 May 2019
Exploring Temporal Information for Improved Video Understanding Yi Zhu 25 0 0 25 May 2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity Engkarat Techapanurak Masanori Suganuma Takayuki Okatani OODD 19 28 0 25 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng Zhang BDL 25 52 0 24 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 28 25 0 24 May 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 21 83 0 24 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 35 96 0 23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 32 8 0 23 May 2019
Constraining the Parameters of High-Dimensional Models with Active Learning S. Caron Tom Heskes Sydney Otten B. Stienen AI4CE 22 27 0 19 May 2019