Provable Guarantees for Understanding Out-of-distribution Detection

1 December 2021

Papers citing "Provable Guarantees for Understanding Out-of-distribution Detection"

50 / 66 papers shown

Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
Detecting OOD Samples via Optimal Transport Scoring Function Heng Gao Zhuolin He Jian Pu OODD 42 0 0 22 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing Guo Yi Chang 69 0 0 08 Jan 2025
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 50 0 0 18 Nov 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 59 15 0 15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 1 0 11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 39 0 0 11 Oct 2024
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces Vahid Hashemi Jan Křetínský Sabine Rieder Torsten Schön Jan Vorhoff 34 0 0 08 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 39 0 0 26 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 46 0 0 22 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 40 3 0 09 Aug 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 44 2 0 07 Aug 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 44 0 0 03 Jul 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yutang Ge Xiaowen Dong Yuguang Wang 48 0 0 13 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
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 May 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy Yihan Mei Xinyu Wang De-Fu Zhang Xiaoling Wang OODD 41 2 0 08 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
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 39 0 0 29 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 38 1 0 16 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 34 12 0 27 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection Genki Osada Tsubasa Takahashi Takashi Nishide OODD 11 1 0 16 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 46 0 23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport Chuanwen Feng Wenlong Chen Ao Ke Yilong Ren Xike Xie S.Kevin Zhou OODD 30 0 0 22 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 47 2 0 12 Jan 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 29 1 0 30 Nov 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 157 24 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 30 35 0 03 Nov 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models Da Song Xuan Xie Jiayang Song Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 35 3 0 22 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
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 35 3 0 20 Aug 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 26 13 0 11 Jul 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection Wenyu Jiang Hao Cheng Mingcai Chen Chongjun Wang Hongxin Wei OOD OODD 24 9 0 03 Jun 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata 57 6 0 16 May 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 39 8 0 07 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 29 20 0 05 May 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 29 4 0 02 Mar 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis Zhu Wang Sourav Medya Sathya Ravi VLM 28 0 0 11 Feb 2023
An Upper Bound for the Distribution Overlap Index and Its Applications Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami VLM 24 0 0 16 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang L. Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 29 4 0 13 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 61 159 0 24 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection Silvio Galesso Max Argus Thomas Brox UQCV 33 11 0 12 Nov 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 27 31 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 32 125 0 26 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 23 4 0 26 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection Rundong He Rong Li Zhongyi Han Yilong Yin 40 5 0 16 Sep 2022