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
A Bayesian Multilingual Document Model for Zero-shot Topic Identification and Discovery Santosh Kesiraju Sangeet Sagar Ondvrej Glembek Lukávs Burget Ján Černocký S. Gangashetty 36 0 0 02 Jul 2020
Uncertainty Prediction for Deep Sequential Regression Using Meta Models Jirí Navrátil Matthew Arnold Benjamin Elder BDL UQCV 14 6 0 02 Jul 2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance Dominik Rivoir S. Bodenstedt Isabel Funke F. Bechtolsheim Marius Distler Jürgen Weitz Stefanie Speidel 24 24 0 01 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 41 627 0 01 Jul 2020
Estimation with Uncertainty via Conditional Generative Adversarial Networks Minhyeok Lee Junhee Seok MedIm 43 15 0 01 Jul 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson Sören Mindermann Uri Shalit Y. Gal CML 16 72 0 01 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 24 5 0 30 Jun 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Yingda Xia Ke Wang Zhiding Yu Fengze Liu Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth OOD 8 210 0 28 Jun 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee Joong-won Hwang Hyungil Kim Kimin Yun Yongjin Kwon Yuseok Bae Joungyoul Park 26 30 0 28 Jun 2020
A Confidence-Calibrated MOBA Game Winner Predictor Dong-Hee Kim Changwoo Lee Ki-Seok Chung 9 12 0 28 Jun 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications F. Arnez H. Espinoza A. Radermacher Franccois Terrier UQCV 30 29 0 26 Jun 2020
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet Hongxu Yang Caifeng Shan Alexander F. Kolen Peter H. N. de With 32 26 0 25 Jun 2020
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction Zhenxi Zhang Chunna Tian Jiajian Li Zhusi Zhong Zhicheng Jiao Xinbo Gao MedIm 22 9 0 25 Jun 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 14 91 0 23 Jun 2020
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation Elias Kassapis G. Dikov D. K. Gupta C. Nugteren 46 17 0 23 Jun 2020
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning T. Nguyen Hyewon Jeong Eunho Yang Sung Ju Hwang 18 15 0 23 Jun 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence Changhao Chen Binghai Wang Chris Xiaoxuan Lu A. Trigoni Andrew Markham 34 134 0 22 Jun 2020
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles Hujie Pan Zining Wang Wei Zhan Masayoshi Tomizuka UQCV 3DPC 33 27 0 22 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
Towards Adaptive Benthic Habitat Mapping J. Shields Oscar Pizarro Stefan B. Williams 24 14 0 20 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 47 53 0 18 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta Aleksandr Podkopaev Aaditya Ramdas UQCV 38 79 0 18 Jun 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy Peng Cui Wenbo Hu Jun Zhu UQCV 19 47 0 18 Jun 2020
Deep Learning Meets SAR Xiaoxiang Zhu S. Montazeri Mohsin Ali Yuansheng Hua Yuanyuan Wang Lichao Mou Yilei Shi Feng Xu R. Bamler 41 221 0 17 Jun 2020
Bayesian active learning for production, a systematic study and a reusable library Parmida Atighehchian Frederic Branchaud-Charron Alexandre Lacoste 11 26 0 17 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 40 103 0 17 Jun 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks Kirill Bykov Marina M.-C. Höhne Klaus-Robert Muller Shinichi Nakajima Marius Kloft UQCV FAtt 35 31 0 16 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 40 11 0 16 Jun 2020
Depth by Poking: Learning to Estimate Depth from Self-Supervised Grasping Ben Goodrich Alex Kuefler William D. Richards SSL 32 6 0 16 Jun 2020
Pixel Invisibility: Detecting Objects Invisible in Color Images Yongxin Wang D. Wijesekera 14 2 0 15 Jun 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 17 7 0 15 Jun 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness Randy Ardywibowo Shahin Boluki Xinyu Gong Zhangyang Wang Xiaoning Qian UQCV 19 18 0 11 Jun 2020
Learning a Unified Sample Weighting Network for Object Detection Qi Cai Yingwei Pan Yu Wang Jingen Liu Ting Yao Tao Mei 6 31 0 11 Jun 2020
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions S. Sun Chen Li Zhuangkun Wei Antonios Tsourdos Weisi Guo FAtt 37 2 0 10 Jun 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel A. B. Monteiro Loic Le Folgoc Daniel Coelho De Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker UQCV BDL 28 113 0 10 Jun 2020
A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers Niccolò Antonello Philip N. Garner 39 4 0 09 Jun 2020
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction Eli Simhayev Gilad Katz Lior Rokach OOD 17 12 0 09 Jun 2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers Tim Z. Xiao Aidan Gomez Y. Gal UQLM 29 33 0 08 Jun 2020
Implications of Human Irrationality for Reinforcement Learning Haiyang Chen H. Chang Andrew Howes 26 1 0 07 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 17 22 0 07 Jun 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End Abdelrahman Eldesokey Michael Felsberg Karl Holmquist M. Persson BDL UQCV 22 112 0 05 Jun 2020
Uncertainty quantification in medical image segmentation with normalizing flows Raghavendra Selvan F. Faye Jon Middleton A. Pai MedIm 26 30 0 04 Jun 2020
One Versus all for deep Neural Network Incertitude (OVNNI) quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV BDL 6 21 0 01 Jun 2020
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput M. Raval 3DV 44 12 0 31 May 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 32 50 0 30 May 2020
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation Daniel Gehrig Dengxin Dai Luc Van Gool 45 158 0 28 May 2020
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding Yaxin Shi Yuangang Pan Donna Xu Ivor W. Tsang 3DV 11 4 0 24 May 2020
Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications Charlie Kirkwood 14 4 0 22 May 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 29 7 0 21 May 2020
Unsupervised Quality Estimation for Neural Machine Translation M. Fomicheva Shuo Sun Lisa Yankovskaya Frédéric Blain Francisco Guzmán Mark Fishel Nikolaos Aletras Vishrav Chaudhary Lucia Specia UQLM 31 186 0 21 May 2020