Generalized Out-of-Distribution Detection: A Survey

21 October 2021

Papers citing "Generalized Out-of-Distribution Detection: A Survey"

31 / 31 papers shown

Title
What Is AI Safety? What Do We Want It to Be? Jacqueline Harding Cameron Domenico Kirk-Giannini 9 0 0 05 May 2025
SimPRIVE: a Simulation framework for Physical Robot Interaction with Virtual Environments F. Nesti G. D’Amico Mauro Marinoni Giorgio Buttazzo 26 0 0 30 Apr 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Z. Wang Zhan Cheng X. Sharon Hu Mengyuan Li Y. Zhao OODD 30 0 0 29 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 34 29 0 25 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 52 0 0 25 Apr 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 54 0 0 11 Mar 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles Younggun Kim Beomsik Cho Seonghoon Ryoo Soomok Lee 3DPC 56 0 0 27 Jan 2025
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 124 4 0 04 Dec 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 123 10 0 06 Nov 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 107 5 0 02 Oct 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 115 30 0 09 Mar 2023
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 111 13 0 28 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 113 86 0 20 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 116 4 0 09 Sep 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 120 21 0 24 Jul 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 134 191 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 145 220 0 02 Feb 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 149 292 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 149 259 0 01 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 140 233 0 28 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 117 55 0 12 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 298 2,108 0 02 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 109 86 0 14 Jul 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data Xu Jia Kai Han Yukun Zhu Bradley Green 115 52 0 26 Apr 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu Xiaodan Li Wenbo Zhou YueFeng Chen Yuan He Hui Xue Weiming Zhang Nenghai Yu CVBM 120 280 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 120 164 0 01 Mar 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 113 73 0 21 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 119 192 0 19 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 251 4,940 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 201 2,391 0 25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 230 8,157 0 06 Jun 2015