Is Out-of-Distribution Detection Learnable?

26 October 2022

Bo Han

Papers citing "Is Out-of-Distribution Detection Learnable?"

50 / 64 papers shown

Title
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 166 4 0 10 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 155 1 0 05 Feb 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 100 6 0 21 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 118 22 0 15 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 91 1 0 25 Sep 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang Jie Yang OODD 96 2 0 05 Feb 2024
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Wei Zhou Robert Wright Mark O. Riedl 56 1 0 12 Oct 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions Ilias Diakonikolas D. Kane Jasper C. H. Lee Ankit Pensia 48 12 0 29 Nov 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 195 520 0 13 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 70 60 0 11 Apr 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 65 29 0 10 Mar 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 96 92 0 01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 111 476 0 24 Nov 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 72 198 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 282 927 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 276 349 0 01 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 126 127 0 29 Sep 2021
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng Ilias Diakonikolas Rong Ge Shivam Gupta D. Kane Mahdi Soltanolkotabi 68 13 0 23 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 182 75 0 12 Sep 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 92 141 0 21 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 167 105 0 14 Jul 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 62 61 0 30 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 170 225 0 16 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 71 333 0 06 Jun 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 89 114 0 30 Apr 2021
Adversarial Reciprocal Points Learning for Open Set Recognition Guangyao Chen Peixi Peng Xiangqian Wang Yonghong Tian 109 291 0 01 Mar 2021
Efficient Learning with Arbitrary Covariate Shift Adam Kalai Varun Kanade 43 7 0 15 Feb 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 53 16 0 03 Feb 2021
Optimal strategies for reject option classifiers V. Franc D. Prusa V. Voráček 45 38 0 29 Jan 2021
Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian UQCV EDL 45 195 0 31 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 648 41,003 0 22 Oct 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 115 67 0 22 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,356 0 08 Oct 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 68 59 0 30 Jul 2020
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples S. Goldwasser Adam Tauman Kalai Y. Kalai Omar Montasser AAML 45 40 0 10 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 45 139 0 26 Jun 2020
Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zi Huang Mahsa Baktash OOD 59 96 0 22 Jun 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation Jiahua Dong Yang Cong Gan Sun Bineng Zhong Xiaowei Xu 55 139 0 24 Apr 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 173 87 0 21 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 148 194 0 06 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 79 164 0 28 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 95 573 0 26 Feb 2020
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering Ilias Diakonikolas Sushrut Karmalkar D. Kane Eric Price Alistair Stewart 42 41 0 19 Nov 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 60 182 0 14 Nov 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 78 83 0 09 Oct 2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm Zhen Fang Jie Lu Feng Liu Junyu Xuan Guangquan Zhang 48 154 0 19 Jul 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 184 722 0 07 Jun 2019
On the Calibration of Multiclass Classification with Rejection Chenri Ni Nontawat Charoenphakdee Junya Honda Masashi Sugiyama 44 55 0 30 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 181 1,478 0 11 Dec 2018
Reducing Network Agnostophobia A. Dhamija Manuel Günther Terrance E. Boult AAML UQCV 68 302 0 09 Nov 2018