Papers citing 'Energy-based Out-of-distribution Detection'

Title
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?International Conference on Learning Representations (ICLR), 2021 S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 527 538 0 12 Oct 2021
Estimating the confidence of speech spoofing countermeasureIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Xin Wang Junichi Yamagishi 77 9 0 10 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical ApplicationsReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2021 Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 119 59 0 08 Oct 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 230 36 0 06 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Shouqing Yang 642 414 0 01 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Shouqing Yang OODD 339 127 0 29 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 130 5 0 14 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Shouqing Yang OODD 358 75 0 12 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Abigail Z. Jacobs OODD 217 32 0 12 Sep 2021
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set FrameworkEngineering applications of artificial intelligence (EAAI), 2021 Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 120 19 0 27 Aug 2021
Semantically Coherent Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2021 Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 244 147 0 26 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence IssueIEEE International Conference on Computer Vision (ICCV), 2021 Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 323 34 0 13 Aug 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 179 3 0 28 Jul 2021
Energy-based Unknown Intent Detection with Data ManipulationFindings (Findings), 2021 Yawen Ouyang Jiasheng Ye Yu Chen Xinyu Dai Shujian Huang Jiajun Chen 95 24 0 27 Jul 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic ClassifiersComputer Vision and Pattern Recognition (CVPR), 2021 Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 184 65 0 23 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 369 106 0 19 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD DetectionInternational Conference on Neural Information Processing (ICONIP), 2021 John Mitros Brian Mac Namee 232 2 0 15 Jul 2021
A modular U-Net for automated segmentation of X-ray tomography images in composite materialsFrontiers in Materials (Front. Mater.), 2021 João P C Bertoldo Etienne Decencière David Ryckelynck H. Proudhon 133 16 0 15 Jul 2021
Thinkback: Task-SpecificOut-of-Distribution Detection Lixuan Yang Dario Rossi OODD 78 1 0 13 Jul 2021
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Tobias Riedlinger Matthias Rottmann Marius Schubert Hanno Gottschalk BDL UQCV 280 15 0 09 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 160 22 0 03 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 165 0 0 25 Jun 2021
Towards Consistent Predictive Confidence through Fitted EnsemblesIEEE International Joint Conference on Neural Network (IJCNN), 2021 Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 127 8 0 22 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label NoiseNeural Information Processing Systems (NeurIPS), 2021 Jianguo Huang Lue Tao Renchunzi Xie Bo An NoLa 277 101 0 21 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Qifeng Bai Wenbing Huang Shouqing Yang Junzhou Huang NoLa 229 20 0 14 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021 Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zinan Lin J. Yadawa 291 44 0 09 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for freeNeural Information Processing Systems (NeurIPS), 2021 Alexander Meinke Julian Bitterwolf Matthias Hein OODD 211 21 0 08 Jun 2021
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Jingyang Zhang Nathan Inkawhich Randolph Linderman Yiran Chen Xue Yang OODD 277 72 0 07 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 101 1 0 07 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine LearningInternational Conference on Learning Representations (ICLR), 2021 Yatao Bian Yu Rong Qifeng Bai Jiaxiang Wu Andreas Krause Junzhou Huang 412 17 0 05 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples ApartComputer Vision and Pattern Recognition (CVPR), 2021 Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 182 23 0 31 May 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss David Macêdo Teresa B Ludermir OODD 406 15 0 30 May 2021
Energy-Based Anomaly Detection and Localization Ergin Utku Genc Nilesh A. Ahuja I. Ndiour Omesh Tickoo 108 6 0 07 May 2021
Iterative Human and Automated Identification of Wildlife ImagesNature Machine Intelligence (Nat. Mach. Intell.), 2021 Zhongqi Miao Ziwei Liu Kaitlyn M. Gaynor M. Palmer Stella X. Yu W. Getz 283 55 0 05 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic SpaceComputer Vision and Pattern Recognition (CVPR), 2021 Rui Huang Shouqing Yang OODD 363 293 0 05 May 2021
MOOD: Multi-level Out-of-distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2021 Ziqian Lin Sreya . Dutta Roy Shouqing Yang OODD 172 125 0 30 Apr 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2021 Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 317 67 0 23 Apr 2021
Contrastive Out-of-Distribution Detection for Pretrained TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Wenxuan Zhou Fangyu Liu Muhao Chen 220 111 0 18 Apr 2021
Out-of-Distribution Detection for Dermoscopic Image Classification Mohammadreza Mohseni J. Yap William Yolland M. Razmara S. Atkins 96 1 0 15 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detectionBritish Machine Vision Conference (BMVC), 2021 Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 177 14 0 29 Mar 2021
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs R. Kaur Susmit Jha Anirban Roy O. Sokolsky Insup Lee 136 14 0 23 Mar 2021
Towards Open World Object DetectionComputer Vision and Pattern Recognition (CVPR), 2021 K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 246 537 0 03 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 418 224 0 01 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networksInternational Conference on Learning Representations (ICLR), 2021 Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 252 39 0 25 Feb 2021
Deep Deterministic Uncertainty: A Simple BaselineComputer Vision and Pattern Recognition (CVPR), 2021 Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Juil Sock Y. Gal UD UQCV PER BDL 421 214 0 23 Feb 2021
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel MachineIEEE International Joint Conference on Neural Network (IJCNN), 2021 F. Tonin Arun Pandey Panagiotis Patrinos Johan A. K. Suykens OODD 191 14 0 16 Feb 2021
Model Rectification via Unknown Unknowns Extraction from Deployment Samples B. Abrahao Zechuan Wang Haider Ahmed Yuchen Zhu 106 0 0 08 Feb 2021
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OODD 159 5 0 15 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 396 54 0 07 Dec 2020
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 227 12 0 25 Nov 2020