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
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems Menghan Wang Yujie Lin Guli Lin Keping Yang Xiao-ming Wu AI4TS 3DV 22 71 0 20 May 2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction Lior Hirschfeld Kyle Swanson Kevin Kaichuang Yang Regina Barzilay Connor W. Coley 24 188 0 20 May 2020
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Constraining the Reionization History using Bayesian Normalizing Flows Héctor J. Hortúa Luigi Malagò Riccardo Volpi BDL 12 18 0 14 May 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 33 207 0 14 May 2020
Estimating predictive uncertainty for rumour verification models E. Kochkina Maria Liakata 30 18 0 14 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 33 263 0 13 May 2020
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing P. Dias Henry Medeiros UQCV 28 3 0 12 May 2020
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization Xiaotao Jia Jianlei Yang Runze Liu Xueyan Wang S. Cotofana Weisheng Zhao 21 26 0 08 May 2020
Hypergraph Learning for Identification of COVID-19 with CT Imaging Donglin Di F. Shi Fuhua Yan L. Xia Zhanhao Mo ... Miaofei Han Yaozong Gao H. Sui Yue Gao Dinggang Shen OOD 43 67 0 07 May 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 29 21 0 05 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 41 16 0 05 May 2020
Parameters Estimation from the 21 cm signal using Variational Inference Héctor J. Hortúa Riccardo Volpi Luigi Malagò 29 2 0 04 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 367 1,975 0 04 May 2020
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs Zebang Zhang Kui Zhao Kai Huang Quanhui Jia Yanming Fang Quan Yu 20 1 0 02 May 2020
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 14 111 0 28 Apr 2020
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy Anjali Balagopal D. Nguyen H. Morgan Yaochung Weng M. Dohopolski ... Y. Gonzalez A. Garant N. Desai R. Hannan Steve B. Jiang 19 44 0 28 Apr 2020
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments Peide Cai Yuxiang Sun Haoyu Wang Ming-Yuan Liu 27 47 0 27 Apr 2020
Compromise-free Bayesian neural networks K. Javid Will Handley Michael P. Hobson A. Lasenby UQCV BDL 30 8 0 25 Apr 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms J. Caldeira Brian D. Nord BDL UQCV UD 46 80 0 22 Apr 2020
Amortized Bayesian model comparison with evidential deep learning Stefan T. Radev Marco D’Alessandro U. Mertens A. Voss Ullrich Kothe Paul-Christian Bürkner BDL 27 34 0 22 Apr 2020
Probabilistic Safety for Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Marta Z. Kwiatkowska AAML 14 52 0 21 Apr 2020
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study D. D. Jong Federico Paredes-Valles Guido de Croon 32 8 0 20 Apr 2020
Tractable Approximate Gaussian Inference for Bayesian Neural Networks J. Goulet L. Nguyen Saeid Amiri BDL 16 18 0 20 Apr 2020
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey Matteo Poggi Fabio Tosi Konstantinos Batsos Philippos Mordohai S. Mattoccia 3DV MDE 27 15 0 18 Apr 2020
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL Alvaro Ovalle Simon Lucas 14 4 0 15 Apr 2020
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion Arnaud Dapogny Kévin Bailly Matthieu Cord CVBM 31 6 0 14 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Ali Gholipour OOD 28 9 0 12 Apr 2020
Probabilistic Oriented Object Detection in Automotive Radar Xu Dong Pengluo Wang Pengyue Zhang Langechuan Liu 24 52 0 11 Apr 2020
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring S. Sajedi Xiao Liang UQCV 21 2 0 10 Apr 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference Mai Bui Tolga Birdal Haowen Deng Shadi Albarqouni Leonidas Guibas Slobodan Ilic Nassir Navab 30 26 0 09 Apr 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method Vishwanath A. Sindagi R. Yasarla Vishal M. Patel 41 223 0 07 Apr 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood Abhinav Kumar Tim K. Marks Wenxuan Mou Ye Wang Michael J. Jones A. Cherian T. Koike-Akino Xiaoming Liu Chen Feng CVBM 3DV 27 151 0 06 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks Anne S. Wannenwetsch Stefan Roth 28 14 0 31 Mar 2020
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume A. Johnston G. Carneiro MDE 28 233 0 31 Mar 2020
Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement Viktor Kocur Milan Ftácnik 30 30 0 29 Mar 2020
Interval Neural Networks as Instability Detectors for Image Reconstructions Jan Macdonald M. März Luis Oala Wojciech Samek 28 2 0 27 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 58 29 0 26 Mar 2020
Interval Neural Networks: Uncertainty Scores Luis Oala Cosmas Heiß Jan Macdonald M. März Wojciech Samek Gitta Kutyniok UQCV 26 25 0 25 Mar 2020
Data Uncertainty Learning in Face Recognition Jie Chang Zhonghao Lan Changmao Cheng Yichen Wei CVBM 17 265 0 25 Mar 2020
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising S. Izadi Ghassan Hamarneh BDL 28 4 0 25 Mar 2020
Uncertainty Estimation in Cancer Survival Prediction H. Loya P. Poduval Deepak Anand Neeraj Kumar A. Sethi 15 4 0 19 Mar 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation Yingda Xia Yi Zhang Fengze Liu Wei Shen Alan Yuille UQCV 27 149 0 18 Mar 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 250 290 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 37 220 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Leonid Sigal Byron Boots UQCV 19 68 0 15 Mar 2020
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent UQCV NoLa 41 0 0 15 Mar 2020
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 19 187 0 13 Mar 2020
Uncertainty depth estimation with gated images for 3D reconstruction Stefanie Walz Tobias Gruber W. Ritter Klaus C. J. Dietmayer 3DV 31 17 0 11 Mar 2020
PANDA: A Gigapixel-level Human-centric Video Dataset Xueyan Wang Xiya Zhang Yinheng Zhu Yuchen Guo Xiaoyun Yuan ... Zerun Wang Guiguang Ding D. Brady Qionghai Dai Lu Fang VGen 44 79 0 10 Mar 2020