Is Out-of-Distribution Detection Learnable?

26 October 2022

Bo Han

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

36 / 86 papers shown

Title
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 12 9 0 15 Sep 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning Jiahua Dong Wenqi Liang Yang Cong Gan Sun CLL 19 19 0 07 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 20 15 0 04 Aug 2023
Reject option models comprising out-of-distribution detection Vojtech Franc D. Prusa Jakub Paplhám OODD 13 2 0 11 Jul 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection Nguyen Ngoc-Hieu Nguyen Hung-Quang The-Anh Ta Thanh Nguyen-Tang Khoa D. Doan Hoang Thanh-Tung OODD 13 2 0 23 Jun 2023
Learnability and Algorithm for Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Bin Liu CLL 29 23 0 22 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 17 12 0 06 Jun 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang Haitao Wu Changqing Zhang Qinghua Hu H. Fu Joey Tianyi Zhou Xi Peng 29 54 0 03 Jun 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Christos Sakaridis F. I. F. Richard Yu ISeg 16 23 0 26 May 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study Bin Deng K. Jia VLM 14 6 0 18 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 17 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 19 19 0 05 May 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 53 17 0 27 Apr 2023
Semantic-Aware Mixup for Domain Generalization C. Xu Xinmei Tian AAML 8 2 0 12 Apr 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 27 38 0 10 Apr 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 14 17 0 24 Mar 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 11 4 0 23 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 17 1 0 14 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 22 12 0 13 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 142 45 0 09 Mar 2023
Contrastive variational information bottleneck for aspect-based sentiment analysis Ming-Wei Chang Min Yang Qingshan Jiang Ruifeng Xu 11 4 0 06 Mar 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection Maxime Darrin Guillaume Staerman Eduardo Dadalto Camara Gomes Jackie CK Cheung Pablo Piantanida Pierre Colombo OODD 33 11 0 20 Feb 2023
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 11 2 0 08 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 8 157 0 24 Nov 2022
Evolutionary Generalized Zero-Shot Learning Dubing Chen Haofeng Zhang Yang Long VLM 13 1 0 23 Nov 2022
Statistical process monitoring of artificial neural networks A. Malinovskaya Pavlo Mozharovskyi Philipp Otto 8 8 0 15 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 21 29 0 29 Aug 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 324 0 01 Oct 2021
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng Ilias Diakonikolas Rong Ge Shivam Gupta D. Kane Mahdi Soltanolkotabi 31 14 0 23 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 138 73 0 12 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 135 103 0 14 Jul 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 22 11 0 14 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 24 6 0 07 Jun 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 144 83 0 21 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016