Verified Uncertainty Calibration

23 September 2019

Papers citing "Verified Uncertainty Calibration"

50 / 242 papers shown

Title
Distilling Calibrated Student from an Uncalibrated Teacher Ishan Mishra Sethu Vamsi Krishna Deepak Mishra FedML 32 2 0 22 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 16 20 0 17 Feb 2023
Task-Specific Skill Localization in Fine-tuned Language Models A. Panigrahi Nikunj Saunshi Haoyu Zhao Sanjeev Arora MoMe 21 66 0 13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 6 5 0 13 Feb 2023
Understanding metric-related pitfalls in image analysis validation Annika Reinke M. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Notzel ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul F. Jäger Lena Maier-Hein 26 51 0 03 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 24 1 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 21 0 0 02 Feb 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 15 0 0 11 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 29 0 0 27 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 24 6 0 15 Dec 2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization Neslihan Kose R. Krishnan Akash Dhamasia Omesh Tickoo Michael Paulitsch 17 1 0 09 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip H. S. Torr Song Bai UQCV NoLa 13 5 0 29 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 19 25 0 21 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 75 2 0 18 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel Marine Le Morvan Gaël Varoquaux UQCV 8 26 0 28 Oct 2022
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs Hans Hao-Hsun Hsu Yuesong Shen Daniel Cremers 12 7 0 27 Oct 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 13 29 0 13 Oct 2022
Class-wise and reduced calibration methods Michael Panchenko Anes Benmerzoug Miguel de Benito Delgado 16 0 0 07 Oct 2022
A Review of Uncertainty Calibration in Pretrained Object Detectors Denis Huseljic M. Herde Mehmet Muejde Bernhard Sick UQCV 14 0 0 06 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 24 76 0 05 Oct 2022
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 32 18 0 05 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin Tanguy Lefort Benjamin Charlier Alexis Joly Joseph Salmon 40 5 0 30 Sep 2022
Variable-Based Calibration for Machine Learning Classifiers Mark Kelly Padhraic Smyth 14 4 0 30 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 18 5 0 23 Sep 2022
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing Jože M. Rožanec Luka Bizjak Elena Trajkova Patrik Zajec Jelle Keizer B. Fortuna Dunja Mladenić 19 11 0 12 Sep 2022
GRASP: A Goodness-of-Fit Test for Classification Learning Adel Javanmard M. Mehrabi 15 0 0 05 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 21 16 0 25 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 25 10 0 24 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 35 13 0 31 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 37 38 0 18 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 24 8 0 04 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 13 6 0 30 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 4 0 0 23 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang H. Lam Haofeng Zhang PER UD 17 5 0 09 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 19 11 0 03 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 17 1 0 02 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection Matthew A. Pitropov Chengjie Huang Vahdat Abdelzad Krzysztof Czarnecki Steven Waslander 3DPC 19 3 0 01 Jun 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability John Kirchenbauer Jacob Oaks Eric Heim UQCV 36 4 0 23 May 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems Yewen Fan Nian Si Kun Zhang 11 2 0 19 May 2022
Metrics of calibration for probabilistic predictions Imanol Arrieta Ibarra Paman Gujral Jonathan Tannen M. Tygert Cherie Xu 45 20 0 19 May 2022
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising Penghui Wei Weimin Zhang Ruijie Hou Jinquan Liu Shaoguo Liu Liang Wang Bo Zheng 35 9 0 15 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 21 47 0 12 May 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 21 1 0 29 Apr 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 9 42 0 25 Mar 2022
Model-Agnostic Multi-Agent Perception Framework Runsheng Xu Weizhe (Wesley) Chen Hao Xiang Lantao Liu Jiaqi Ma FedML 22 59 0 24 Mar 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong Cao Liu Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Weipeng Zhang Houfeng Wang UQCV 11 2 0 17 Mar 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers Markus Kängsepp Kaspar Valk Meelis Kull 27 3 0 16 Mar 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond Sebastian G. Gruber Florian Buettner UQCV 6 45 0 15 Mar 2022
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Edgar Dobriban 15 20 0 03 Mar 2022