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Verified Uncertainty Calibration

Neural Information Processing Systems (NeurIPS), 2019

23 September 2019

Papers citing "Verified Uncertainty Calibration"

50 / 265 papers shown

Title
Model Calibration in Dense Classification with Adaptive Label PerturbationIEEE International Conference on Computer Vision (ICCV), 2023 Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 271 6 0 25 Jul 2023
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationKnowledge Discovery and Data Mining (KDD), 2023 Longfeng Wu Bowen Lei Dongkuan Xu Dawei Zhou UQCV CML 129 11 0 19 Jul 2023
Understanding Uncertainty Sampling Shang Liu Xiaocheng Li UQCV 186 11 0 06 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and CalibrationComputer Vision and Pattern Recognition (CVPR), 2023 Kemal Oksuz Thomas Joy P. Dokania UQCV 203 20 0 03 Jul 2023
TCE: A Test-Based Approach to Measuring Calibration ErrorConference on Uncertainty in Artificial Intelligence (UAI), 2023 Takuo Matsubara Niek Tax Richard Mudd Ido Guy 177 5 0 25 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware GroupingNeural Information Processing Systems (NeurIPS), 2023 Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 216 5 0 08 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence CalibrationComputer Vision and Pattern Recognition (CVPR), 2023 Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 225 3 0 31 May 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance SystemIEEE Internet of Things Journal (IEEE IoT J.), 2023 Jiwei Guan Lei Pan Chen Wang Shui Yu Longxiang Gao Xi Zheng AAML 168 5 0 30 May 2023
Estimating Large Language Model Capabilities without Labeled Test DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Harvey Yiyun Fu Qinyuan Ye Albert Xu Xiang Ren Robin Jia 234 10 0 24 May 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceInternational Conference on Machine Learning (ICML), 2023 Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Gyuseung Baek Yongdai Kim BDL 215 8 0 24 May 2023
Dual Focal Loss for CalibrationInternational Conference on Machine Learning (ICML), 2023 Linwei Tao Minjing Dong Chang Xu UQCV 217 42 0 23 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric MethodsNeural Information Processing Systems (NeurIPS), 2023 Shang Liu Zhongze Cai Xiaocheng Li 149 6 0 20 May 2023
Minimum-Risk Recalibration of ClassifiersNeural Information Processing Systems (NeurIPS), 2023 Zeyu Sun Dogyoon Song Alfred Hero 186 9 0 18 May 2023
Document Understanding Dataset and Evaluation (DUDE)IEEE International Conference on Computer Vision (ICCV), 2023 Jordy Van Landeghem Rubèn Pérez Tito Łukasz Borchmann Michal Pietruszka Pawel Józiak ... Bertrand Ackaert Ernest Valveny Matthew Blaschko Sien Moens Tomasz Stanislawek VGen 236 107 0 15 May 2023
Online Platt Scaling with CalibeatingInternational Conference on Machine Learning (ICML), 2023 Chirag Gupta Aaditya Ramdas 225 6 0 28 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained ClassifierConference on Uncertainty in Artificial Intelligence (UAI), 2023 Aditya Challa Snehanshu Saha S. Dhavala UQCV 202 2 0 25 Apr 2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness Bo Li Gexiang Fang Yang Yang Quansen Wang Wei Ye Wen Zhao Shikun Zhang ELM AI4MH 476 195 0 23 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed DistributionComputer Vision and Pattern Recognition (CVPR), 2023 Jiahao Chen Bingyue Su 123 22 0 13 Apr 2023
Uncertainty Propagation in Node ClassificationIndustrial Conference on Data Mining (IDM), 2022 Zhao Xu Carolin (Haas) Lawrence Ammar Shaker Raman Siarheyeu BDL UQCV 249 2 0 03 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 226 3 0 23 Mar 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset ReinforcementIEEE International Conference on Computer Vision (ICCV), 2023 Fartash Faghri Hadi Pouransari Sachin Mehta Mehrdad Farajtabar Ali Farhadi Mohammad Rastegari Oncel Tuzel 240 14 0 15 Mar 2023
Machine learning for sports betting: should model selection be based on accuracy or calibration?Machine Learning with Applications (MLWA), 2023 Conor Walsh Alok Joshi 183 3 0 10 Mar 2023
Rethinking Confidence Calibration for Failure PredictionEuropean Conference on Computer Vision (ECCV), 2023 Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 228 50 0 06 Mar 2023
Distilling Calibrated Student from an Uncalibrated Teacher Ishan Mishra Sethu Vamsi Krishna Deepak Mishra FedML 156 3 0 22 Feb 2023
On (assessing) the fairness of risk score modelsConference on Fairness, Accountability and Transparency (FAccT), 2023 Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 193 25 0 17 Feb 2023
Task-Specific Skill Localization in Fine-tuned Language ModelsInternational Conference on Machine Learning (ICML), 2023 A. Panigrahi Nikunj Saunshi Haoyu Zhao Sanjeev Arora MoMe 263 89 0 13 Feb 2023
Calibrating a Deep Neural Network with Its PredecessorsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 196 8 0 13 Feb 2023
Understanding metric-related pitfalls in image analysis validationNature Methods (Nat Methods), 2023 Annika Reinke M. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Notzel ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul F. Jäger Lena Maier-Hein 172 132 0 03 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 256 2 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 309 2 0 02 Feb 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 148 0 0 11 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 202 1 0 27 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal PredictionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 255 5 0 15 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 127 2 0 09 Dec 2022
A Unifying Theory of Distance from CalibrationSymposium on the Theory of Computing (STOC), 2022 Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 225 49 0 30 Nov 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Juil Sock Song Bai UQCV NoLa 145 7 0 29 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal LossNeural Information Processing Systems (NeurIPS), 2022 Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 189 45 0 21 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim Alabdulmohsin 202 2 0 18 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural networksInternational Conference on Learning Representations (ICLR), 2022 Alexandre Perez-Lebel Marine Le Morvan Gaël Varoquaux UQCV 193 32 0 28 Oct 2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs Hans Hao-Hsun Hsu Yuesong Shen Zorah Lähner 181 7 0 27 Oct 2022
A Consistent and Differentiable Lp Canonical Calibration Error EstimatorNeural Information Processing Systems (NeurIPS), 2022 Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 177 45 0 13 Oct 2022
Class-wise and reduced calibration methodsInternational Conference on Machine Learning and Applications (ICMLA), 2022 Michael Panchenko Anes Benmerzoug Miguel de Benito Delgado 185 3 0 07 Oct 2022
A Review of Uncertainty Calibration in Pretrained Object Detectors Denis Huseljic M. Herde Mehmet Muejde Bernhard Sick UQCV 103 0 0 06 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 222 134 0 05 Oct 2022
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 186 20 0 05 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin Tanguy Lefort Benjamin Charlier Alexis Joly Joseph Salmon 234 6 0 30 Sep 2022
Variable-Based Calibration for Machine Learning ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022 Mark Kelly Padhraic Smyth 141 5 0 30 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 161 7 0 23 Sep 2022
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in ManufacturingJournal of Intelligent Manufacturing (J Intell Manuf), 2022 Jože M. Rožanec Luka Bizjak Elena Trajkova Patrik Zajec Jelle Keizer B. Fortuna Dunja Mladenić 148 14 0 12 Sep 2022
GRASP: A Goodness-of-Fit Test for Classification Learning Adel Javanmard M. Mehrabi 309 1 0 05 Sep 2022