Papers citing 'Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles'

Title
On Joint Regularization and Calibration in Deep Ensembles Laurits Fredsgaard Mikkel N. Schmidt UQCV 323 0 0 06 Nov 2025
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 265 11 0 06 May 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 195 32 0 04 Apr 2024
Koopman Ensembles for Probabilistic Time Series ForecastingEuropean Signal Processing Conference (EUSIPCO), 2024 Anthony Frion Lucas Drumetz Guillaume Tochon M. Dalla Mura Albdeldjalil Aissa El Bey AI4TS 118 2 0 11 Mar 2024
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual LocalizationIEEE International Conference on Robotics and Automation (ICRA), 2023 Le Chen Weirong Chen Rui Wang Marc Pollefeys UQCV 193 16 0 10 Oct 2023
Using AI Uncertainty Quantification to Improve Human Decision-MakingInternational Conference on Machine Learning (ICML), 2023 L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 230 11 0 19 Sep 2023
Long-term drought prediction using deep neural networks based on geospatial weather dataEnvironmental Modelling & Software (Environ. Model. Softw.), 2023 Alexander Marusov Vsevolod Grabar Yury Maximov Nazar Sotiriadi Alexander Bulkin Alexey Zaytsev 193 19 0 12 Sep 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their TrustworthinessAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Jiuhai Chen Jonas W. Mueller 317 103 0 30 Aug 2023
Likelihood-ratio-based confidence intervals for neural networksMachine-mediated learning (ML), 2023 Laurens Sluijterman Eric Cator Tom Heskes UQCV 142 2 0 04 Aug 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 222 4 0 08 Apr 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling Wei-Yin Ko Daniel D'souza Karina Nguyen Randall Balestriero Sara Hooker FedML 257 13 0 01 Mar 2023
Optimal Training of Mean Variance Estimation Neural NetworksNeurocomputing (Neurocomputing), 2023 Laurens Sluijterman Eric Cator Tom Heskes DRL 174 33 0 17 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 328 21 0 01 Feb 2023
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines Jo-Lan Kuan Jonas W. Mueller OODD 137 31 0 07 Jul 2022
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping Vikranth Dwaracherla Zheng Wen Ian Osband Xiuyuan Lu S. Asghari Benjamin Van Roy UQCV 212 21 0 08 Jun 2022
Verification-Aided Deep Ensemble SelectionFormal Methods in Computer-Aided Design (FMCAD), 2022 Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 233 18 0 08 Feb 2022
Improving robustness and calibration in ensembles with diversity regularizationGerman Conference on Pattern Recognition (GCPR), 2022 H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 115 9 0 26 Jan 2022
Robust uncertainty estimates with out-of-distribution pseudo-inputs training Pierre Segonne Yevgen Zainchkovskyy Søren Hauberg UQCV OOD 100 1 0 15 Jan 2022
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 178 54 0 26 Oct 2021
Uncertainty-Aware Machine Translation Evaluation T. Glushkova Chrysoula Zerva Ricardo Rei André F.T. Martins UQLM 309 49 0 13 Sep 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 382 82 0 05 Sep 2021
A Dataset-Level Geometric Framework for Ensemble Classifiers Shengli Wu Weimin Ding 81 3 0 16 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 229 7 0 09 Jun 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal SettingsIEEE International Joint Conference on Neural Network (IJCNN), 2021 U. Sarawgi Rishab Khincha W. Zulfikar Satrajit S. Ghosh Pattie Maes UQCV 160 7 0 21 Apr 2021
Flexible Model Aggregation for Quantile RegressionJournal of machine learning research (JMLR), 2021 Rasool Fakoor Tae-Soo Kim Jonas W. Mueller Alexander J. Smola Robert Tibshirani 498 28 0 26 Feb 2021
Semi-supervised novelty detection using ensembles with regularized disagreementConference on Uncertainty in Artificial Intelligence (UAI), 2020 A. Tifrea E. Stavarache Fanny Yang UQCV 233 6 0 10 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020 Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Tianpeng Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 915 2,256 0 12 Nov 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 120 7 0 25 Sep 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 157 62 0 25 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Katharina Eggensperger Yee Whye Teh OOD UQCV 254 85 0 15 Jun 2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity SamplingInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2020 Kirill Fedyanin Evgenii Tsymbalov Maxim Panov UQCV 160 7 0 06 Mar 2020