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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"

50 / 1,062 papers shown

Title
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 68 0 0 26 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 501 1 0 25 Sep 2024
On the calibration of powerset speaker diarization models Alexis Plaquet H. Bredin UQCV 25 0 0 24 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity Aditya Singh Haohan Wang 144 2 0 20 Sep 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 73 0 0 13 Sep 2024
Sources of Uncertainty in 3D Scene Reconstruction Talal Alrawajfeh Riccardo Mereu Arno Solin Mikko Heikkilä 3DV 3DGS 88 3 0 10 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty Sara Pohland Claire Tomlin 76 0 0 09 Sep 2024
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels Emma Svensson Hannah Rosa Friesacher S. Winiwarter Lewis H. Mervin Adam Arany Ola Engkvist 112 2 0 06 Sep 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 72 0 0 05 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 61 0 0 05 Sep 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 110 1 0 30 Aug 2024
Estimating Uncertainty with Implicit Quantile Network Yi Hung Lim UQCV BDL 31 0 0 26 Aug 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 84 1 0 24 Aug 2024
Measuring Uncertainty Disentanglement Error in Classification Ivo Pascal de Jong A. Sburlea Matthia Sabatelli Matias Valdenegro-Toro UQCV UD PER 88 4 0 22 Aug 2024
The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act Matias Valdenegro-Toro Radina Stoykova 76 1 0 20 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment T. Legler Vinit Hegiste Ahmed Anwar Martin Ruskowski 57 0 0 18 Aug 2024
Identifying Technical Debt and Its Types Across Diverse Software Projects Issues Karthik Shivashankar Mili Orucevic Maren Maritsdatter Kruke Antonio Martini 50 1 0 17 Aug 2024
Deep Generative Classification of Blood Cell Morphology Simon Deltadahl J. Gilbey C. V. Laer Nancy Boeckx M. Leers ... Nicholas S. Gleadall Carola-Bibiane Schönlieb S. Sivapalaratnam Michael Roberts P. Nachev DiffM MedIm 78 0 0 16 Aug 2024
Uncertainty-Informed Volume Visualization using Implicit Neural Representation Shanu Saklani Chitwan Goel Shrey Bansal Zhe Wang Soumya Dutta Tushar M. Athawale D. Pugmire Christopher R. Johnson 94 0 0 12 Aug 2024
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis D. M. Yalcinkaya Khalid Youssef Bobak Heydari Janet Wei N. Merz ... R. Dharmakumar Orlando Simonetti J. Weinsaft Subha V. Raman Behzad Sharif 40 0 0 09 Aug 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Stanislav Fort Balaji Lakshminarayanan OOD AAML 66 7 0 08 Aug 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration Luciana Ferrer Daniel Ramos UQCV 66 4 0 05 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 85 1 0 04 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 117 3 0 01 Aug 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 82 0 0 23 Jul 2024
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models Hannah Rosa Friesacher Ola Engkvist Lewis H. Mervin Yves Moreau Adam Arany 67 0 0 19 Jul 2024
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 97 9 0 18 Jul 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance Haiquan Lu Xiaotian Liu Yefan Zhou Qunli Li Kurt Keutzer Michael W. Mahoney Yujun Yan Huanrui Yang Yaoqing Yang 61 1 0 17 Jul 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection Mahdi Gilany Mohamed Harmanani P. Wilson Minh-Son To A. Jamzad Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi OOD 63 0 0 17 Jul 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation Luís Almeida Ines Dutra Francesco Renna UQCV 78 0 0 17 Jul 2024
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss Mohammed Fellaji Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro UQCV 84 1 0 16 Jul 2024
Proper losses regret at least 1/2-order Han Bao Asuka Takatsu 45 1 0 15 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 94 32 0 11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning Giuseppe Serra Ben Werner Florian Buettner 88 2 0 10 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 96 3 0 02 Jul 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems Jeremias Traub Till J. Bungert Carsten T. Lüth Michael Baumgartner Klaus H. Maier-Hein Lena Maier-Hein Paul F. Jaeger 74 4 0 01 Jul 2024
Evaluation of autonomous systems under data distribution shifts Daniel Sikar Artur Garcez 28 0 0 28 Jun 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation Matias Valdenegro-Toro Ivo Pascal de Jong Marco Zullich UD 65 3 0 26 Jun 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 76 0 0 24 Jun 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Mark Chen Lukasz Dudziak Wayne Luk BDL 70 0 0 23 Jun 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 79 5 0 21 Jun 2024
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA Hao Mark Chen Liam Castelli Martin Ferianc Hongyu Zhou Shuanglong Liu Wayne Luk Hongxiang Fan 73 0 0 20 Jun 2024
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems Md. Ibrahim Ibne Alam Parikshit Ram Soham Dan Horst Samulowitz Koushik Kar 63 0 0 19 Jun 2024
Calibrating Where It Matters: Constrained Temperature Scaling Stephen McKenna Jacob Carse 44 0 0 17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 89 1 0 14 Jun 2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models Tzu-Quan Lin Hung-yi Lee Hao Tang 95 3 0 08 Jun 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions Nathan Ng Roger C. Grosse Marzyeh Ghassemi 68 0 0 04 Jun 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks Andrew Gambardella Yusuke Iwasawa Yutaka Matsuo LRM 54 6 0 04 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation Mohamed Ragab Peiliang Gong Emadeldeen Eldele Wenyu Zhang Min-man Wu Chuan-Sheng Foo Daoqiang Zhang Xiaoli Li Zhenghua Chen TTA AI4TS 103 3 0 04 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 176 1 0 04 Jun 2024