Robust Out-of-distribution Detection for Neural Networks

Robust Out-of-distribution Detection for Neural Networks

21 March 2020

Papers citing "Robust Out-of-distribution Detection for Neural Networks"

16 / 16 papers shown

Title
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 206 0 0 27 Feb 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge J. Belongie Christian Igel 59 1 0 03 Jan 2025
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 56 14 0 15 Oct 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks N. Alipour Seyyed Ali SeyyedSalehi 41 0 0 15 Jun 2024
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance J. Haas OODD 12 0 0 21 Aug 2023
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
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 124 0 26 Oct 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 16 3 0 18 Aug 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 16 8 0 22 Jun 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 46 93 0 22 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 21 4 0 10 Jun 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems Shohei Enomoto Takeharu Eda UQCV 41 17 0 15 Apr 2021
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 23 2 0 03 Sep 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016