On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration

16 December 2019

Papers citing "On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration"

22 / 22 papers shown

Title
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 43 1 0 01 Jun 2024
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation Yudian Zhang Chenhao Xu Kaiye Xu Haijiang Zhu 46 0 0 09 May 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 14 1 0 05 Jan 2024
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 15 2 0 06 Dec 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 18 0 0 05 Oct 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 21 0 15 Jul 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 86 0 16 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 39 0 0 02 Feb 2023
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Richard I. Hartley Peter Tu AAML 24 5 0 26 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 20 13 0 02 Oct 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
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe L. Vig OODD 6 10 0 31 Oct 2021
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing Kanil Patel William H. Beluch K. Rambach Michael Pfeiffer B. Yang UQCV 38 9 0 27 Sep 2021
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 53 1,111 0 07 Jul 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra Kanil Patel William H. Beluch K. Rambach Adriana-Eliza Cozma Michael Pfeiffer Bin Yang EDL UQCV 18 5 0 01 Jun 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations Sooyong Jang Insup Lee James Weimer UQCV 8 7 0 09 Nov 2020
Learning Equality Constraints for Motion Planning on Manifolds Giovanni Sutanto Isabel M. Rayas Fernández Péter Englert R. Ramachandran Gaurav Sukhatme 6 23 0 24 Sep 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 14 34 0 23 Jun 2020
On Calibration of Mixup Training for Deep Neural Networks Juan Maroñas D. Ramos-Castro Roberto Paredes Palacios UQCV 25 6 0 22 Mar 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 191 273 0 03 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015