Verified Uncertainty Calibration

23 September 2019

Papers citing "Verified Uncertainty Calibration"

50 / 242 papers shown

Title
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao Bojian Hou Zhanliang Wang Ruochen Jin Q. Long Weijie Su Li Shen 30 0 0 04 May 2025
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 57 0 0 02 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 87 0 0 25 Apr 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Han Zhu Chuan Yu Bo Zheng 58 15 0 13 Mar 2025
We Care Each Pixel: Calibrating on Medical Segmentation Model Wenhao Liang W. Zhang Y. Lin Miao Xu Olaf Maennel Weitong Chen 48 0 0 07 Mar 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava 57 0 0 27 Feb 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 69 1 0 24 Feb 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Z. Wang Yankai Lin Yong Liu ELM 97 1 0 03 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 62 0 0 31 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 40 0 0 27 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 94 2 0 03 Jan 2025
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Jannik Elsäßer Laura Weihl Veronika Cheplygina Lisbeth Tangaa Nielsen 74 0 0 20 Dec 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 33 1 0 05 Nov 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Improving Predictor Reliability with Selective Recalibration Thomas P. Zollo Zhun Deng Jake C. Snell T. Pitassi Richard Zemel OOD 41 0 0 07 Oct 2024
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Rameswar Panda W. Wells Tina Kapur Polina Golland 27 1 0 06 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 24 0 0 04 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling Johnathan Xie Annie S. Chen Yoonho Lee Eric Mitchell Chelsea Finn 13 7 0 29 Sep 2024
A Survey on the Honesty of Large Language Models Siheng Li Cheng Yang Taiqiang Wu Chufan Shi Yuji Zhang ... Jie Zhou Yujiu Yang Ngai Wong Xixin Wu Wai Lam HILM 27 4 0 27 Sep 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 21 0 0 26 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 32 1 0 13 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 22 0 0 05 Sep 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration Luciana Ferrer Daniel Ramos UQCV 25 4 0 05 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 38 1 0 02 Aug 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans M. Herde Denis Huseljic Lukas Rauch Bernhard Sick 29 1 0 30 Jul 2024
Multimodal Label Relevance Ranking via Reinforcement Learning Taian Guo Taolin Zhang Haoqian Wu Hanjun Li Ruizhi Qiao Xing Sun OffRL 16 0 0 18 Jul 2024
Stochastic Concept Bottleneck Models Moritz Vandenhirtz Sonia Laguna Ricards Marcinkevics Julia E. Vogt 35 9 0 27 Jun 2024
A Self-boosted Framework for Calibrated Ranking Shunyu Zhang Hu Liu Wentian Bao Enyun Yu Yang Song 41 2 0 12 Jun 2024
PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa Futoshi Futami 33 0 0 10 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 63 1 0 06 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 38 1 0 01 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 31 4 0 30 May 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 33 1 0 24 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 37 3 0 24 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 40 0 0 22 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models Aditya Challa Sravan Danda Laurent Najman Snehanshu Saha UQCV 28 0 0 19 May 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 40 2 0 24 Apr 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 39 1 0 19 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya S. Pershin Danis Alukaev UQCV EDL 39 0 0 16 Apr 2024
Uncertainty in Language Models: Assessment through Rank-Calibration Xinmeng Huang Shuo Li Mengxin Yu Matteo Sesia Hamed Hassani Insup Lee Osbert Bastani Edgar Dobriban 35 16 0 04 Apr 2024
Few-Shot Recalibration of Language Models Xiang Lisa Li Urvashi Khandelwal Kelvin Guu 39 5 0 27 Mar 2024
Model-Free Local Recalibration of Neural Networks R. Torres David J. Nott S. Sisson T. Rodrigues J. G. Reis G. S. Rodrigues 27 1 0 09 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 45 1 0 04 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 21 1 0 27 Feb 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 34 13 0 26 Feb 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 43 10 0 25 Feb 2024
Testing Calibration in Nearly-Linear Time Lunjia Hu A. Jambulapati Kevin Tian Chutong Yang 35 0 0 20 Feb 2024
How Flawed Is ECE? An Analysis via Logit Smoothing Muthu Chidambaram Holden Lee Colin McSwiggen Semon Rezchikov UQCV 12 3 0 15 Feb 2024
Understanding the Effects of Iterative Prompting on Truthfulness Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju HILM 17 9 0 09 Feb 2024