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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"

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Title
CP $^2$ : Leveraging Geometry for Conformal Prediction via Canonicalization P. A. V. D. Linden Alexander Timans Erik J. Bekkers 10 0 0 19 Jun 2025
Uncertainty Estimation by Human Perception versus Neural Models Pedro Mendes Paolo Romano David Garlan 10 0 0 18 Jun 2025
Robust Molecular Property Prediction via Densifying Scarce Labeled Data Jina Kim Jeffrey Willette Bruno Andreis Sung Ju Hwang OOD 64 0 0 13 Jun 2025
Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Achim Hekler Lukas Kuhn Florian Buettner UQCV 77 0 0 11 Jun 2025
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh Hamidreza Kamkari Valentin Thomas Benson Li Junwei Ma Jesse C. Cresswell Rahul G. Krishnan CML 22 0 0 09 Jun 2025
Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness S. Landgraf Markus Hillemann Markus Ulrich UQCV 62 0 0 06 Jun 2025
TRUST: Test-time Resource Utilization for Superior Trustworthiness Haripriya Harikumar Santu Rana 35 0 0 06 Jun 2025
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models Jenny Schmalfuss Nadine Chang Vibashan VS Maying Shen Andrés Bruhn Jose M. Alvarez VLM 10 0 0 03 Jun 2025
Self-ensemble: Mitigating Confidence Distortion for Large Language Models Zicheng Xu Guanchu Wang Guangyao Zheng Yu-Neng Chuang A. Szalay Helen Zhou Vladimir Braverman 45 0 0 02 Jun 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization C. Tan Yubo Zhou Haishan Ye Guang Dai Junmin Liu Zengjie Song Jiangshe Zhang Zixiang Zhao Yunda Hao Yong Xu AAML 34 0 0 29 May 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty Sebastián Jiménez Mira Jürgens Willem Waegeman UD PER 51 0 0 29 May 2025
DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes Sungjune Park Hyunjun Kim Junho Kim S. T. Kim Y. Ro LRM 123 0 0 29 May 2025
Revisiting Bayesian Model Averaging in the Era of Foundation Models Mijung Park UQCV MoMe 17 0 0 28 May 2025
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates Prashant Shivaram Bhat Laurens Niesten Elahe Arani Bahram Zonooz CLL 15 0 0 28 May 2025
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Angéline Pouget Mohammad Yaghini Stephan Rabanser Nicolas Papernot 29 0 0 28 May 2025
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts Shadi Alijani Homayoun Najjaran 155 0 0 26 May 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 51 0 0 24 May 2025
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media Ismail Erbas Ferhat Demirkiran Karthik Swaminathan Naigang Wang Navid Ibtehaj Nizam Stefan T. Radev Kaoutar El Maghraoui Xavier Intes Vikas Pandey MoE 38 0 0 23 May 2025
Robust Invariant Representation Learning by Distribution Extrapolation Kotaro Yoshida Konstantinos Slavakis OOD 84 0 0 22 May 2025
Safe Uncertainty-Aware Learning of Robotic Suturing Wilbert Peter Empleo Yitaek Kim Hansoul Kim Thiusius Rajeeth Savarimuthu Iñigo Iturrate 76 0 0 22 May 2025
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Chengtang Yao Lidong Yu Zhidan Liu Jiaxi Zeng Yuwei Wu Yunde Jia MDE 93 0 0 20 May 2025
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing Leyang Xue Yao Fu Luo Mai Mahesh K. Marina 136 0 0 18 May 2025
Imagination-Limited Q-Learning for Offline Reinforcement Learning Wenhui Liu Zhijian Wu Jingchao Wang Dingjiang Huang Shuigeng Zhou OffRL 186 0 0 18 May 2025
Are vision language models robust to uncertain inputs? Xi Wang Eric Nalisnick AAML VLM Presented at ResearchTrend Connect \| VLM on 18 Jun 2025 144 1 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 104 1 0 17 May 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 50 0 0 16 May 2025
Variational Visual Question Answering Tobias Jan Wieczorek Nathalie Daun Mohammad Emtiyaz Khan Marcus Rohrbach OOD 92 0 0 14 May 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Ibrahim Elsharkawy Yonatan Kahn 51 0 0 13 May 2025
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 56 1 0 12 May 2025
Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki Jakub Białek W. Kuberski J. Nurminen 97 0 0 08 May 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Shireen Kudukkil Manchingal Andrew Bradley Julian F. P. Kooij Keivan K1 Shariatmadar Neil Yorke-Smith Fabio Cuzzolin 159 1 0 08 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 417 0 0 05 May 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 187 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 540 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 169 0 0 25 Apr 2025
Evaluating Uncertainty in Deep Gaussian Processes Matthijs van der Lende Jeremias Lino Ferrao Niclas Müller-Hof UQCV 70 0 0 24 Apr 2025
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator Chenhao Li Andreas Krause Marco Hutter OffRL 56 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 77 0 0 19 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 141 0 0 18 Apr 2025
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning Xuyang Chen Guojian Wang Keyu Yan Lin Zhao OffRL 94 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 77 0 0 14 Apr 2025
Road Grip Uncertainty Estimation Through Surface State Segmentation Jyri Maanpää Julius Pesonen Iaroslav Melekhov H. Hyyti Juha Hyyppa 71 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 77 0 0 10 Apr 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 1.1K 2 0 09 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 95 0 0 07 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 78 3 0 07 Apr 2025
Locations of Characters in Narratives: Andersen and Persuasion Datasets Batuhan Ozyurt Roya Arkhmammadova Deniz Yuret 75 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 67 0 0 28 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing Fabian Denoodt José Oramas UQCV 176 0 0 19 Mar 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 125 0 0 14 Mar 2025