Verified Uncertainty Calibration

23 September 2019

Papers citing "Verified Uncertainty Calibration"

50 / 242 papers shown

Title
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 24 1 0 06 Feb 2024
Incoherent Probability Judgments in Large Language Models Jian-Qiao Zhu Thomas L. Griffiths 80 6 0 30 Jan 2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising Shuai Yang Hao Yang Zhuang Zou Linhe Xu Shuo Yuan Yifan Zeng 32 1 0 17 Jan 2024
MISS: Multiclass Interpretable Scoring Systems Michal K. Grzeszczyk Tomasz Trzciñski Arkadiusz Sitek 27 0 0 10 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 26 4 0 07 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 14 1 0 05 Jan 2024
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models Matthew Dahl Varun Magesh Mirac Suzgun Daniel E. Ho HILM AILaw 25 73 0 02 Jan 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 17 3 0 14 Dec 2023
Estimating calibration error under label shift without labels Teodora Popordanoska Gorjan Radevski Tinne Tuytelaars Matthew B. Blaschko 19 1 0 14 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 30 8 0 11 Dec 2023
A Study on the Calibration of In-context Learning Hanlin Zhang Yi-Fan Zhang Yaodong Yu Dhruv Madeka Dean Phillips Foster Eric Xing Hima Lakkaraju Sham Kakade 26 15 0 07 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 47 6 0 05 Dec 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 79 2 0 23 Nov 2023
On the Overconfidence Problem in Semantic 3D Mapping J. M. C. Marques Albert Zhai Shenlong Wang Kris K. Hauser 3DPC 11 5 0 16 Nov 2023
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"? Tong Liu Iza vSkrjanec Vera Demberg 40 5 0 15 Nov 2023
Towards a data-driven debt collection strategy based on an advanced machine learning framework Abel Sancarlos Edgar Bahilo Pablo Mozo Lukas Norman Obaid Ur Rehma Mihails Anufrijevs 23 0 0 03 Nov 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 14 3 0 26 Oct 2023
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty Denis Mbey Akola Gianni Franchi ObjD UQCV 20 0 0 07 Oct 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 22 5 0 26 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 19 5 0 25 Sep 2023
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing Jarosław Błasiok Preetum Nakkiran UQCV 43 20 0 21 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 6 3 0 14 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications Elvis Nunez Thomas Merth Anish K. Prabhu Mehrdad Farajtabar Mohammad Rastegari Sachin Mehta Maxwell Horton 17 1 0 08 Sep 2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models Xiyue Zhu Vlas Zyrianov Zhijian Liu Shenlong Wang 25 11 0 24 Aug 2023
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 19 9 0 23 Aug 2023
CLEVA: Chinese Language Models EVAluation Platform Yanyang Li Jianqiao Zhao Duo Zheng Zi-Yuan Hu Zhi Chen ... Yongfeng Huang Shijia Huang Dahua Lin Michael R. Lyu Liwei Wang ALM ELM 33 9 0 09 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 8 11 0 06 Aug 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 39 5 0 25 Jul 2023
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration Longfeng Wu Bowen Lei Dongkuan Xu Dawei Zhou UQCV CML 29 9 0 19 Jul 2023
Understanding Uncertainty Sampling Shang Liu Xiaocheng Li UQCV 18 6 0 06 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
TCE: A Test-Based Approach to Measuring Calibration Error Takuo Matsubara Niek Tax Richard Mudd Ido Guy 11 4 0 25 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 19 5 0 08 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 30 2 0 31 May 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System Jiwei Guan Lei Pan Chen Wang Shui Yu Longxiang Gao Xi Zheng AAML 19 3 0 30 May 2023
Estimating Large Language Model Capabilities without Labeled Test Data Harvey Yiyun Fu Qinyuan Ye Albert Xu Xiang Ren Robin Jia 21 8 0 24 May 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Gyuseung Baek Yongdai Kim BDL 21 4 0 24 May 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 37 26 0 23 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods Shang Liu Zhongze Cai Xiaocheng Li 11 4 0 20 May 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 30 5 0 18 May 2023
Document Understanding Dataset and Evaluation (DUDE) Jordy Van Landeghem Rubèn Pérez Tito Łukasz Borchmann Michal Pietruszka Pawel Józiak ... Bertrand Ackaert Ernest Valveny Matthew Blaschko Sien Moens Tomasz Stanislawek VGen 22 52 0 15 May 2023
Online Platt Scaling with Calibeating Chirag Gupta Aaditya Ramdas 11 5 0 28 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier Aditya Challa Snehanshu Saha S. Dhavala UQCV 25 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 19 155 0 23 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 30 10 0 13 Apr 2023
Uncertainty Propagation in Node Classification Zhao Xu Carolin (Haas) Lawrence Ammar Shaker Raman Siarheyeu BDL UQCV 37 2 0 03 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 38 0 0 23 Mar 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Fartash Faghri Hadi Pouransari Sachin Mehta Mehrdad Farajtabar Ali Farhadi Mohammad Rastegari Oncel Tuzel 35 9 0 15 Mar 2023
Machine learning for sports betting: should model selection be based on accuracy or calibration? Conor Walsh Alok Joshi 15 0 0 10 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023