Low-Dimensional Gradient Helps Out-of-Distribution Detection

Low-Dimensional Gradient Helps Out-of-Distribution Detection

26 October 2023

Xiaolin Huang

Papers citing "Low-Dimensional Gradient Helps Out-of-Distribution Detection"

8 / 8 papers shown

Title
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 62 1 0 28 May 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 39 2 0 05 Feb 2024
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 76 49 0 09 Oct 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity Vincent Szolnoky Viktor Andersson Balázs Kulcsár Rebecka Jörnsten 18 5 0 25 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 258 0 19 May 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
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