LINe: Out-of-Distribution Detection by Leveraging Important Neurons

24 March 2023

Papers citing "LINe: Out-of-Distribution Detection by Leveraging Important Neurons"

25 / 25 papers shown

Title
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 58 0 0 01 Mar 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection Haonan Xu Yang Yang OODD 84 1 0 17 Dec 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 54 1 0 16 Nov 2024
PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond Jongseo Lee Geo Ahn Seong Tae Kim Jinwoo Choi 34 0 0 26 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 66 3 0 18 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 26 0 0 20 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 28 1 0 31 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 44 0 0 23 Jul 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 41 1 0 27 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 44 3 0 18 May 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 29 4 0 18 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 45 6 0 12 Apr 2024
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts Yong Hyun Ahn Hyeon Bae Kim Seong Tae Kim 34 4 0 29 Feb 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 40 0 0 28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 31 12 0 27 Feb 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 64 1 0 22 Jan 2024
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 18 6 0 27 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 142 6 0 02 Oct 2023
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms Sudeepta Mondal G. Sundaramoorthi OODD 11 0 0 09 Sep 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 26 16 0 20 Aug 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 26 19 0 05 Jun 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 45 2 0 26 Mar 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 255 36,362 0 25 Aug 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016