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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Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Chengtang Yao Lidong Yu Zhidan Liu Jiaxi Zeng Yuwei Wu Yunde Jia MDE 12 0 0 20 May 2025
Imagination-Limited Q-Learning for Offline Reinforcement Learning Wenhui Liu Zhijian Wu Jingchao Wang Dingjiang Huang Shuigeng Zhou OffRL 12 0 0 18 May 2025
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing Leyang Xue Yao Fu Luo Mai Mahesh K. Marina 19 0 0 18 May 2025
Are vision language models robust to uncertain inputs? Xi Wang Eric Nalisnick AAML VLM 14 0 0 17 May 2025
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research Guijin Son Jiwoo Hong Honglu Fan Heejeong Nam Hyunwoo Ko ... Jinyeop Song Jinha Choi Gonçalo Paulo Youngjae Yu Stella Biderman 14 0 0 17 May 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 9 0 0 16 May 2025
Variational Visual Question Answering Tobias Jan Wieczorek Nathalie Daun Mohammad Emtiyaz Khan Marcus Rohrbach OOD 44 0 0 14 May 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Ibrahim Elsharkawy Yonatan Kahn 21 0 0 13 May 2025
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 31 1 0 12 May 2025
Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki Jakub Białek W. Kuberski J. Nurminen 55 0 0 08 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 63 0 0 08 May 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 63 0 0 05 May 2025
ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning Yang Deng Yaohui Liu Rui Liang Dafang Zhao Donghua Xie Ittetsu Taniguchi Dan Wang AI4CE 201 0 0 05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 181 0 0 04 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 94 0 0 25 Apr 2025
Evaluating Uncertainty in Deep Gaussian Processes Matthijs van der Lende Jeremias Lino Ferrao Niclas Müller-Hof UQCV 45 0 0 24 Apr 2025
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator Chenhao Li Andreas Krause Marco Hutter OffRL 35 0 0 23 Apr 2025
Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Muhammad Haseeb Aslam Clara Martinez M. Pedersoli Alessandro Lameiras Koerich Ali Etemad Eric Granger 31 0 0 19 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 35 0 0 18 Apr 2025
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning Xuyang Chen Guojian Wang Keyu Yan Lin Zhao OffRL 37 1 0 16 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 49 0 0 14 Apr 2025
Road Grip Uncertainty Estimation Through Surface State Segmentation Jyri Maanpää Julius Pesonen Iaroslav Melekhov H. Hyyti Juha Hyyppa 33 0 0 11 Apr 2025
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion Yujin Wang Jiarui Wu Yichen Bian Fan Zhang Tianfan Xue 34 0 0 10 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 716 0 0 09 Apr 2025
The challenge of uncertainty quantification of large language models in medicine Zahra Atf Seyed Amir Ahmad Safavi-Naini Peter Lewis Aref Mahjoubfar Nariman Naderi Thomas Savage Ali Soroush 23 1 0 07 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 53 0 0 07 Apr 2025
Locations of Characters in Narratives: Andersen and Persuasion Datasets Batuhan Ozyurt Roya Arkhmammadova Deniz Yuret 39 0 0 04 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang Minsu Kim Steven Euijong Whang 36 0 0 28 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing Fabian Denoodt José Oramas UQCV 76 0 0 19 Mar 2025
The Architecture and Evaluation of Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 74 0 0 14 Mar 2025
Towards Robust Model Evolution with Algorithmic Recourse Hao-Tsung Yang Jie Gao Bo-Yi Liu Zhi-Xuan Liu 48 0 0 12 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes Qi Wu Yingguang Yang Hao Liu Hao Peng Buyun He Yutong Xia Yong Liao AAML 66 0 0 11 Mar 2025
PostHoc FREE Calibrating on Kolmogorov Arnold Networks Wenhao Liang W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 64 0 0 03 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 62 0 0 02 Mar 2025
Ranking pre-trained segmentation models for zero-shot transferability Joshua Talks Anna Kreshuk 205 0 0 01 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 212 0 0 28 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection Benedikt Tscheschner Eduardo Veas Marc Masana CLL 51 0 0 27 Feb 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 232 0 0 27 Feb 2025
A calibration test for evaluating set-based epistemic uncertainty representations Mira Jürgens Thomas Mortier Eyke Hüllermeier Viktor Bengs Willem Waegeman 39 0 0 22 Feb 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization Behraj Khan Behroz Mirza Nouman Durrani T. Syed 60 0 0 18 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 371 0 0 05 Feb 2025
GDO: Gradual Domain Osmosis Zixi Wang Yubo Huang 233 0 0 31 Jan 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 115 0 0 30 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 219 1 0 29 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 95 12 0 28 Jan 2025
Reliable Text-to-SQL with Adaptive Abstention Kaiwen Chen Yueting Chen Xiaohui Yu Nick Koudas RALM 46 0 0 18 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 274 0 0 14 Jan 2025
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 51 0 0 13 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 108 2 0 03 Jan 2025
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 48 0 0 23 Dec 2024