Detecting Out-of-Distribution Through the Lens of Neural Collapse

2 November 2023

Papers citing "Detecting Out-of-Distribution Through the Lens of Neural Collapse"

8 / 8 papers shown

Title
Collapsed Language Models Promote Fairness Jingxuan Xu Wuyang Chen Linyi Li Yao Zhao Yunchao Wei 39 0 0 06 Oct 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 38 31 0 30 Sep 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 158 148 0 20 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 326 0 01 Oct 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016