Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

6 June 2019

Balaji Lakshminarayanan

Jasper Snoek

UQCV

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Papers citing "Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift"

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Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 184 53 0 19 May 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets Max Ryabinin A. Malinin Mark Gales UQCV 20 18 0 14 May 2021
BNNpriors: A library for Bayesian neural network inference with different prior distributions Vincent Fortuin Adrià Garriga-Alonso Mark van der Wilk Laurence Aitchison BDL UQCV 13 23 0 14 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 41 124 0 14 May 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 23 7 0 13 May 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir J. Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani N. Durrande BDL UQCV 18 30 0 10 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 27 17 0 10 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 29 20 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 49 7 0 06 May 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 33 374 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 177 17 0 23 Apr 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings U. Sarawgi Rishab Khincha W. Zulfikar Satrajit S. Ghosh Pattie Maes UQCV 25 7 0 21 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning Katerina Margatina Loïc Barrault Nikolaos Aletras 29 36 0 16 Apr 2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing Matias Valdenegro-Toro UQCV 25 20 0 16 Apr 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 37 21 0 13 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 104 0 08 Apr 2021
Out-of-Distribution Robustness with Deep Recursive Filters Kapil D. Katyal I-J. Wang Gregory D. Hager UQCV 15 0 0 06 Apr 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Tong Xia Jing Han Lorena Qendro T. Dang Cecilia Mascolo 29 25 0 05 Apr 2021
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration Theodoros Tsiligkaridis Athanasios Tsiligkaridis 25 3 0 02 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 27 31 0 29 Mar 2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Sophia J. Abraham Zachariah Carmichael Sreya Banerjee Rosaura G. VidalMata Ankit Agrawal M. N. A. Islam Walter J. Scheirer J. Cleland-Huang 34 19 0 28 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li Xiaoke Huang Jiwen Lu Jianjiang Feng Jie Zhou UQCV 34 62 0 25 Mar 2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy Sergei V. Kalinin M. Ziatdinov Jacob D. Hinkle S. Jesse Ayana Ghosh K. Kelley A. Lupini B. Sumpter Rama K Vasudevan 45 3 0 22 Mar 2021
Robustness via Cross-Domain Ensembles Teresa Yeo Oğuzhan Fatih Kar Alexander Sax Amir Zamir UQCV OOD 20 25 0 19 Mar 2021
Decision Theoretic Bootstrapping P. Tavallali Hamed Hamze Bajgiran Danial Esaid H. Owhadi 27 0 0 18 Mar 2021
Learning Word-Level Confidence For Subword End-to-End ASR David Qiu Qiujia Li Yanzhang He Yu Zhang Yue Liu ... Deepti Bhatia Wei Li Ke Hu Tara N. Sainath Ian McGraw 32 32 0 11 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé Rémy Sun Matthieu Cord UQCV 37 60 0 10 Mar 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 19 23 0 10 Mar 2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction Ke Wang Michael R. Kellman Christopher M. Sandino Kevin Zhang S. Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig MedIm 19 11 0 06 Mar 2021
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles Nico Lang Nikolai Kalischek J. Armston Konrad Schindler R. Dubayah Jan Dirk Wegner 14 158 0 05 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 19 101 0 03 Mar 2021
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts Rishabh Singh José C. Príncipe UQCV 19 0 0 02 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements L. Hoffmann I. Fortmeier Clemens Elster UQCV 25 28 0 01 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning David S. W. Williams Matthew Gadd D. Martini Paul Newman OODD 19 13 0 01 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 19 58 0 28 Feb 2021
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss Jakob Weissteiner Hanna Wutte Sven Seuken Josef Teichmann BDL 42 19 0 26 Feb 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling Gregory W. Benton Wesley J. Maddox Sanae Lotfi A. Wilson UQCV 33 67 0 25 Feb 2021
Bayesian OOD detection with aleatoric uncertainty and outlier exposure Xi Wang Laurence Aitchison UD 27 15 0 24 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 37 146 0 23 Feb 2021
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty Joost R. van Amersfoort Lewis Smith Andrew Jesson Oscar Key Y. Gal UQCV 24 102 0 22 Feb 2021
Improving Uncertainty Calibration via Prior Augmented Data Jeffrey Willette Juho Lee Sung Ju Hwang UQCV 29 0 0 22 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 212 81 0 16 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 225 419 0 16 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai Song Mei Haiquan Wang Caiming Xiong 17 42 0 15 Feb 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 67 138 0 12 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 36 67 0 11 Feb 2021