GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients

1 August 2023

Papers citing "GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients"

6 / 6 papers shown

Title
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 53 2 0 18 Sep 2024
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 149 146 0 20 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016