On the Impact of Spurious Correlation for Out-of-distribution Detection

12 September 2021

Papers citing "On the Impact of Spurious Correlation for Out-of-distribution Detection"

50 / 56 papers shown

Title
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection Yoon Gyo Jung Jaewoo Park Jaeho Yoon Kuan-Chuan Peng Wonchul Kim Andrew Beng Jin Teoh Octavia Camps 49 0 0 03 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 57 0 0 22 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 68 0 0 01 Mar 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 66 0 0 08 Jan 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models Ezgi Demircan-Tureyen F. Lucka Tristan van Leeuwen DiffM 33 0 0 09 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 43 0 0 09 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 51 0 0 05 Nov 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification Tom A. Lamb Adam Davies Alasdair Paren Philip H. S. Torr Francesco Pinto 47 0 0 30 Oct 2024
Mechanism learning: Reverse causal inference in the presence of multiple unknown confounding through front-door causal bootstrapping Jianqiao Mao Max A. Little CML 23 0 0 26 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 26 0 0 24 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 59 15 0 15 Oct 2024
Say My Name: a Model's Bias Discovery Framework Massimiliano Ciranni Luca Molinaro C. Barbano A. Fiandrotti Vittorio Murino Vito Paolo Pastore Enzo Tartaglione 35 3 0 18 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 40 10 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 52 0 0 23 Jul 2024
Insect Identification in the Wild: The AMI Dataset Aditya Jain Fagner Cunha M. Bunsen Juan Sebastián Canas L. Pasi ... K. P. McFarland David Roy T. Høye Maxim Larrivée David Rolnick 48 3 0 18 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 37 7 0 28 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 36 2 0 05 May 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang Feng Liu Zhengfeng Fang Hong Chen Tongliang Liu Feng Zheng Bo Han VLM 55 28 0 29 Mar 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 43 27 0 05 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 44 0 23 Jan 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 23 5 0 21 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 36 7 0 05 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 155 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 154 23 0 06 Nov 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification Preetam Prabhu Srikar Dammu Chirag Shah 37 2 0 03 Nov 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 22 10 0 25 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection Yi Dai Hao Lang Kaisheng Zeng Fei Huang Yongbin Li OODD 26 10 0 12 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 42 6 0 21 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective Haoliang Wang Chen Zhao Yunhui Guo Kai Jiang Feng Chen 35 3 0 18 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Zhitong Gao Shipeng Yan Xuming He OOD OODD 24 10 0 12 Sep 2023
Studying Generalization on Memory-Based Methods in Continual Learning Felipe del-Rio J. Hurtado Cristian-Radu Buc Alvaro Soto Vincenzo Lomonaco BDL 30 3 0 16 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 32 64 0 02 Jun 2023
MaskSearch: Querying Image Masks at Scale Dong He Jieyu Zhang Maureen Daum Alexander Ratner Magdalena Balazinska VLM 29 2 0 03 May 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 43 12 0 13 Apr 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Contrastive variational information bottleneck for aspect-based sentiment analysis Ming-Wei Chang Min Yang Qingshan Jiang Ruifeng Xu 21 4 0 06 Mar 2023
Using Semantic Information for Defining and Detecting OOD Inputs Ramneet Kaur Xiayan Ji Souradeep Dutta Michele Caprio Yahan Yang E. Bernardis O. Sokolsky Insup Lee OODD 34 7 0 21 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang Rajesh Ranganath OODD 29 6 0 08 Feb 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection Jaeyoung Kim Seo Taek Kong Dongbin Na Kyu-Hwan Jung OODD 18 4 0 26 Dec 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 45 157 0 24 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 32 124 0 26 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 27 2 0 24 Oct 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 23 11 0 23 Aug 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 24 54 0 21 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 29 113 0 28 Jun 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 23 57 0 11 Apr 2022