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v1v2 (latest)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv (abs)PDF HTML

Papers citing "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness"

50 / 362 papers shown

Title
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model Jing Zhang Yuchao Dai Mehrtash Harandi Yiran Zhong Nick Barnes Leonid Sigal UQCV 73 1 0 22 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Guang Cheng 102 15 0 16 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning Runa Eschenhagen Erik A. Daxberger Philipp Hennig Agustinus Kristiadi UQCV BDL 105 26 0 05 Nov 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe Lovekesh Vig OODD 121 11 0 31 Oct 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 122 33 0 29 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 107 7 0 28 Oct 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition Junjiao Tian Dylan Yung Yen-Chang Hsu Z. Kira 130 24 0 27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu SungSoo Ahn Le Song Jinwoo Shin OffRL 115 40 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 143 93 0 26 Oct 2021
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator S. Javed Pradeep Ramuhalli Arif Mahmood Yigit Yucesan Alexander Zhukov M. Schram Kishansingh Rajput Torri Jeske 58 16 0 22 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 127 2 0 12 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 182 65 0 06 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 94 11 0 06 Oct 2021
$Δ$ -UQ: Accurate Uncertainty Quantification via Anchor Marginalization Rushil Anirudh Jayaraman J. Thiagarajan 80 1 0 05 Oct 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 117 15 0 30 Sep 2021
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 182 54 0 16 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 77 28 0 12 Sep 2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning Maryam Habibpour Hassan Gharoun M. Mehdipour AmirReza Tajally Hamzeh Asgharnezhad Afshar Shamsi Jokandan Abbas Khosravi M. Shafie‐khah S. Nahavandi J. Catalão 95 58 0 28 Jul 2021
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 237 116 0 19 Jul 2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark Anand Avati Martin G. Seneviratne Emily Xue Zhen Xu Balaji Lakshminarayanan Andrew M. Dai OOD CML 94 8 0 17 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 251 135 0 15 Jul 2021
What classifiers know what they don't? Mohamed Ishmael Belghazi David Lopez-Paz 113 6 0 13 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation Ian D Kivlichan Zi Lin J. Liu Lucy Vasserman 64 20 0 09 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 72 5 0 09 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 175 64 0 01 Jul 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 190 108 0 22 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 241 246 0 16 Jun 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji Razvan Pascanu Devon Hjelm Balaji Lakshminarayanan Andrea Vedaldi 102 8 0 15 Jun 2021
Understanding Softmax Confidence and Uncertainty Tim Pearce Alexandra Brintrup Jun Zhu UQCV 177 98 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 143 34 0 09 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 192 100 0 07 Jun 2021
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 104 1 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 242 361 0 06 Jun 2021
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective Lewis Smith Joost R. van Amersfoort Haiwen Huang Stephen J. Roberts Y. Gal 102 7 0 04 Jun 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss David Macêdo Teresa B Ludermir OODD 175 13 0 30 May 2021
Understanding Uncertainty in Bayesian Deep Learning Cooper Lorsung BDL UQCV 57 0 0 21 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 173 143 0 14 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 124 59 0 11 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 114 18 0 10 May 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties Lisa Schut Oscar Key R. McGrath Luca Costabello Bogdan Sacaleanu Medb Corcoran Y. Gal CML 140 50 0 16 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 164 63 0 01 Mar 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 124 110 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 203 182 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 190 113 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 393 97 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 99 43 0 15 Feb 2021
Estimation and Applications of Quantiles in Deep Binary Classification Anuj Tambwekar Anirudh Maiya S. Dhavala Snehanshu Saha UQCV 52 7 0 09 Feb 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 310 86 0 11 Jan 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 175 53 0 14 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 276 33 0 09 Dec 2020

v1v2 (latest)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv (abs)PDF HTML

Papers citing "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness"

50 / 362 papers shown

Title
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model Jing Zhang Yuchao Dai Mehrtash Harandi Yiran Zhong Nick Barnes Leonid Sigal UQCV 73 1 0 22 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Guang Cheng 102 15 0 16 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning Runa Eschenhagen Erik A. Daxberger Philipp Hennig Agustinus Kristiadi UQCV BDL 105 26 0 05 Nov 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe Lovekesh Vig OODD 121 11 0 31 Oct 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 122 33 0 29 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 107 7 0 28 Oct 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition Junjiao Tian Dylan Yung Yen-Chang Hsu Z. Kira 130 24 0 27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu SungSoo Ahn Le Song Jinwoo Shin OffRL 115 40 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 143 93 0 26 Oct 2021
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator S. Javed Pradeep Ramuhalli Arif Mahmood Yigit Yucesan Alexander Zhukov M. Schram Kishansingh Rajput Torri Jeske 58 16 0 22 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 127 2 0 12 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 182 65 0 06 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 94 11 0 06 Oct 2021
$Δ$ -UQ: Accurate Uncertainty Quantification via Anchor Marginalization Rushil Anirudh Jayaraman J. Thiagarajan 80 1 0 05 Oct 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 117 15 0 30 Sep 2021
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 182 54 0 16 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 77 28 0 12 Sep 2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning Maryam Habibpour Hassan Gharoun M. Mehdipour AmirReza Tajally Hamzeh Asgharnezhad Afshar Shamsi Jokandan Abbas Khosravi M. Shafie‐khah S. Nahavandi J. Catalão 95 58 0 28 Jul 2021
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 237 116 0 19 Jul 2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark Anand Avati Martin G. Seneviratne Emily Xue Zhen Xu Balaji Lakshminarayanan Andrew M. Dai OOD CML 94 8 0 17 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 251 135 0 15 Jul 2021
What classifiers know what they don't? Mohamed Ishmael Belghazi David Lopez-Paz 113 6 0 13 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation Ian D Kivlichan Zi Lin J. Liu Lucy Vasserman 64 20 0 09 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 72 5 0 09 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 175 64 0 01 Jul 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 190 108 0 22 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 241 246 0 16 Jun 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji Razvan Pascanu Devon Hjelm Balaji Lakshminarayanan Andrea Vedaldi 102 8 0 15 Jun 2021
Understanding Softmax Confidence and Uncertainty Tim Pearce Alexandra Brintrup Jun Zhu UQCV 177 98 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 143 34 0 09 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 192 100 0 07 Jun 2021
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 104 1 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 242 361 0 06 Jun 2021
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective Lewis Smith Joost R. van Amersfoort Haiwen Huang Stephen J. Roberts Y. Gal 102 7 0 04 Jun 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss David Macêdo Teresa B Ludermir OODD 175 13 0 30 May 2021
Understanding Uncertainty in Bayesian Deep Learning Cooper Lorsung BDL UQCV 57 0 0 21 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 173 143 0 14 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 124 59 0 11 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 114 18 0 10 May 2021
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties Lisa Schut Oscar Key R. McGrath Luca Costabello Bogdan Sacaleanu Medb Corcoran Y. Gal CML 140 50 0 16 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 164 63 0 01 Mar 2021
The Promises and Pitfalls of Deep Kernel Learning Sebastian W. Ober C. Rasmussen Mark van der Wilk UQCV BDL 124 110 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 203 182 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 190 113 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 393 97 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 99 43 0 15 Feb 2021
Estimation and Applications of Quantiles in Deep Binary Classification Anuj Tambwekar Anirudh Maiya S. Dhavala Snehanshu Saha UQCV 52 7 0 09 Feb 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 310 86 0 11 Jan 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 175 53 0 14 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection Dennis Ulmer Giovanni Cina OODD 276 33 0 09 Dec 2020