A Simple Baseline for Bayesian Uncertainty in Deep Learning

7 February 2019

Dmitry Vetrov

Papers citing "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

50 / 189 papers shown

Title
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 38 59 0 14 Feb 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs Hao Guo Jiyong Jin B. Liu FedML 26 1 0 14 Feb 2022
Lymphoma segmentation from 3D PET-CT images using a deep evidential network Ling Huang S. Ruan P. Decazes Thierry Denoeux 3DPC MedIm 38 37 0 31 Jan 2022
Stochastic Neural Networks with Infinite Width are Deterministic Liu Ziyin Hanlin Zhang Xiangming Meng Yuting Lu Eric P. Xing Masakuni Ueda 26 3 0 30 Jan 2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting Zhao Chen Vincent Casser Henrik Kretzschmar Dragomir Anguelov 26 5 0 16 Jan 2022
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery J. Gazak Ian McQuaid R. Swindle M. Phelps Justin Fletcher 14 14 0 10 Jan 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
Toward Practical Monocular Indoor Depth Estimation Cho-Ying Wu Jialiang Wang Michael Hall Ulrich Neumann Shuochen Su 3DV MDE 43 62 0 04 Dec 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 19 58 0 03 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 36 80 0 26 Oct 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 20 45 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 38 5 0 01 Oct 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 24 12 0 22 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 19 18 0 16 Sep 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 22 68 0 05 Sep 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 31 25 0 23 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 27 9 0 02 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 33 22 0 02 Aug 2021
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion D. Kunin Javier Sagastuy-Breña Lauren Gillespie Eshed Margalit Hidenori Tanaka Surya Ganguli Daniel L. K. Yamins 31 15 0 19 Jul 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 57 73 0 09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 38 288 0 28 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma Ziyun Huang Jiayi Xian Mingchen Gao Jinhui Xu UQCV 25 14 0 25 Jun 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 18 34 0 10 May 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 24 21 0 13 Apr 2021
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression David Rügamer Chris Kolb Cornelius Fritz Florian Pfisterer Philipp Kopper ... Dominik Thalmeier Philipp F. M. Baumann Lucas Kook Nadja Klein Christian L. Müller BDL 10 19 0 06 Apr 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 32 1 0 28 Mar 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 24 145 0 23 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 22 85 0 20 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu FedML 11 27 0 12 Feb 2021
A Survey on Ensemble Learning under the Era of Deep Learning Yongquan Yang Haijun Lv Ning Chen OOD 67 182 0 21 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 226 509 0 15 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 48 51 0 14 Jan 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification Xiaoxuan Zhang K. Garikipati AI4CE 46 11 0 13 Jan 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 169 30 0 12 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 22 115 0 02 Jan 2021
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference Jiyang Xie Zhanyu Ma Jing-Hao Xue Guoqiang Zhang Jun Guo BDL 27 11 0 17 Nov 2020
A Random Matrix Theory Approach to Damping in Deep Learning Diego Granziol Nicholas P. Baskerville AI4CE ODL 26 2 0 15 Nov 2020
A Bayesian Perspective on Training Speed and Model Selection Clare Lyle Lisa Schut Binxin Ru Y. Gal Mark van der Wilk 39 24 0 27 Oct 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 17 10 0 24 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 26 2 0 03 Sep 2020
Interpretable Sequence Learning for COVID-19 Forecasting Sercan Ö. Arik Chun-Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn ... Martin Nikoltchev Yash Sonthalia Hootan Nakhost Elli Kanal Tomas Pfister AI4TS 20 83 0 03 Aug 2020