Towards Trustworthy Predictions from Deep Neural Networks with Fast
Adversarial Calibration

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration

20 December 2020

Christian Tomani

Florian Buettner

Papers citing "Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration"

10 / 10 papers shown

Title
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 42 0 0 22 May 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 34 1 0 22 Feb 2024
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 21 4 0 10 Feb 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 35 0 0 27 Dec 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 28 24 0 12 Oct 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation C. Ouyang Shuo Wang C. L. P. Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 25 11 0 03 Jun 2022
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Y. Zou UQCV 25 67 0 11 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015