Towards Maximizing the Representation Gap between In-Domain &
Out-of-Distribution Examples

Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples

20 October 2020

Papers citing "Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples"

13 / 13 papers shown

Title
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Guiyu Zhang Huan-ang Gao Zijian Jiang Hao Zhao Zhedong Zheng EGVM 46 6 0 15 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 42 2 0 01 Aug 2024
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 6 31 0 14 Dec 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 30 3 0 12 Sep 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 21 2 0 15 Jul 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 32 1,109 0 07 Jul 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 20 15 0 18 Jun 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 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