ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

27 February 2024

Papers citing "ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection"

20 / 20 papers shown

Title
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 153 0 0 03 Mar 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 78 0 0 20 Dec 2024
Generalized Distribution Prediction for Asset Returns Ísak Pétursson María Óskarsdóttir AIFin 24 0 0 15 Oct 2024
Look Around and Find Out: OOD Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 29 0 0 06 Oct 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
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 50 0 0 05 Sep 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 32 3 0 09 Aug 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 38 0 0 25 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 26 4 0 18 Apr 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 20 1 0 30 Nov 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 111 31 0 24 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 147 45 0 09 Mar 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 138 48 0 04 Jul 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
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 247 782 0 05 Dec 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016