Uncertainty Quantification and Deep Ensembles

17 July 2020

Papers citing "Uncertainty Quantification and Deep Ensembles"

35 / 35 papers shown

Title
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles Tirtha Vinchurkar Kareem Abdelmaqsoud John R. Kitchin AI4CE 107 0 0 17 Apr 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis Chen Zhao Xuan Wang Tong Zhang Saqib Javed Mathieu Salzmann 3DGS 309 0 0 13 Mar 2025
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 58 0 0 23 Jul 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 22 6 0 07 May 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 58 0 0 29 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 59 5 0 25 Mar 2024
Benchmarking LLMs via Uncertainty Quantification Fanghua Ye Mingming Yang Jianhui Pang Longyue Wang Derek F. Wong Emine Yilmaz Shuming Shi Zhaopeng Tu ELM 34 47 0 23 Jan 2024
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 48 1 0 16 Oct 2023
Uncertainty Aware Deep Learning for Particle Accelerators Kishansingh Rajput Malachi Schram Karthik Somayaji 25 2 0 25 Sep 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 26 5 0 15 Aug 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps Muthuraman Chidambaram Rong Ge UQCV 42 4 0 01 Jun 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 52 26 0 23 May 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 32 7 0 11 Apr 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 31 2 0 28 Feb 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 36 11 0 27 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 43 5 0 13 Feb 2023
Randomized prior wavelet neural operator for uncertainty quantification Shailesh Garg S. Chakraborty UQCV BDL 34 1 0 02 Feb 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 39 0 0 24 Dec 2022
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation Dipika Singhania R. Rahaman Angela Yao 27 28 0 20 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 39 2 0 01 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 33 0 30 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 31 0 0 06 Nov 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation Ralf Römer Armin Lederer Samuel Tesfazgi Sandra Hirche 29 2 0 14 Sep 2022
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 41 37 0 25 Aug 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 52 34 0 29 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 35 2 0 27 May 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 44 60 0 14 Feb 2022
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,115 0 07 Jul 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 51 360 0 15 Jun 2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network Dipika Singhania R. Rahaman Angela Yao AI4TS 33 55 0 23 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 47 125 0 14 May 2021
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 36 63 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 280 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015