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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
PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa Futoshi Futami 252 2 0 10 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 294 4 0 06 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 355 3 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 331 11 0 01 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 208 8 0 30 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 211 7 0 24 May 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 310 9 0 24 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Juil Sock Adel Bibi AAML 454 2 0 22 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models Aditya Challa Sravan Danda Laurent Najman Snehanshu Saha UQCV 280 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 271 5 0 24 Apr 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 411 6 0 19 Apr 2024
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 524 6 0 17 Apr 2024
Awareness of uncertainty in classification using a multivariate model and multi-views Alexey Kornaev E. Kornaeva Oleg Ivanov Ilya Pershin Danis Alukaev UQCV EDL 209 1 0 16 Apr 2024
Uncertainty in Language Models: Assessment through Rank-CalibrationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Xinmeng Huang Shuo Li Mengxin Yu Matteo Sesia Hamed Hassani Insup Lee Osbert Bastani Guang Cheng 183 32 0 04 Apr 2024
Few-Shot Recalibration of Language Models Xiang Lisa Li Urvashi Khandelwal Kelvin Guu 201 7 0 27 Mar 2024
Model-Free Local Recalibration of Neural Networks R. Torres David J. Nott Scott A. Sisson T. Rodrigues J. G. Reis G. S. Rodrigues 237 2 0 09 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 422 3 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 294 3 0 27 Feb 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 170 20 0 26 Feb 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 291 15 0 25 Feb 2024
Testing Calibration in Nearly-Linear Time Lunjia Hu A. Jambulapati Kevin Tian Chutong Yang 165 6 0 20 Feb 2024
How Flawed Is ECE? An Analysis via Logit Smoothing Muthu Chidambaram Holden Lee Colin McSwiggen Semon Rezchikov UQCV 265 4 0 15 Feb 2024
Understanding the Effects of Iterative Prompting on TruthfulnessInternational Conference on Machine Learning (ICML), 2024 Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju HILM 196 18 0 09 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 325 2 0 06 Feb 2024
Incoherent Probability Judgments in Large Language Models Jian-Qiao Zhu Thomas Griffiths 277 15 0 30 Jan 2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online AdvertisingKnowledge Discovery and Data Mining (KDD), 2024 Shuai Yang Hao Yang Zhuang Zou Linhe Xu Shuo Yuan Yifan Zeng 289 5 0 17 Jan 2024
MISS: Multiclass Interpretable Scoring SystemsSDM (SDM), 2024 Michal K. Grzeszczyk Tomasz Trzciñski Arkadiusz Sitek 189 1 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 293 6 0 07 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 204 2 0 05 Jan 2024
Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsJournal of Legal Analysis (JLA), 2024 Matthew Dahl Varun Magesh Mirac Suzgun James Grimmelmann HILM AILaw 353 144 0 02 Jan 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration ErrorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 249 6 0 14 Dec 2023
Estimating calibration error under label shift without labels Teodora Popordanoska Gorjan Radevski Tinne Tuytelaars Matthew B. Blaschko 120 2 0 14 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 245 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 510 21 0 07 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing EverythingInternational Conference on Machine Learning (ICML), 2023 Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 320 13 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 372 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 166 9 0 16 Nov 2023
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?Annual Meeting of the Association for Computational Linguistics (ACL), 2023 Tong Liu Iza vSkrjanec Vera Demberg 295 11 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 114 0 0 03 Nov 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution ShiftAAAI Conference on Artificial Intelligence (AAAI), 2023 Dexter Neo Stefan Winkler Tsuhan Chen OODD 251 6 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 233 3 0 07 Oct 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 442 13 0 26 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal ApplicationsNeural Information Processing Systems (NeurIPS), 2023 Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 231 6 0 25 Sep 2023
Smooth ECE: Principled Reliability Diagrams via Kernel SmoothingInternational Conference on Learning Representations (ICLR), 2023 Jarosław Błasiok Preetum Nakkiran UQCV 247 42 0 21 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble ArchitectureBritish Machine Vision Conference (BMVC), 2023 S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 357 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 186 1 0 08 Sep 2023
MapPrior: Bird's-Eye View Map Layout Estimation with Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Xiyue Zhu Vlas Zyrianov Zhijian Liu Shenlong Wang 151 17 0 24 Aug 2023
A Benchmark Study on CalibrationInternational Conference on Learning Representations (ICLR), 2023 Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 484 8 0 23 Aug 2023
CLEVA: Chinese Language Models EVAluation PlatformConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yanyang Li Jianqiao Zhao Duo Zheng Zi-Yuan Hu Zhi Chen ... Yongfeng Huang Shijia Huang Dahua Lin Michael R. Lyu Liwei Wang ALM ELM 279 15 0 09 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorACM Multimedia (ACM MM), 2023 Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 268 18 0 06 Aug 2023