Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo E. Choi OOD 25 3 0 18 Oct 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection Koby Bibas M. Feder Tal Hassner OODD 26 24 0 18 Oct 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks Guangxiang Zhao Wenkai Yang Xuancheng Ren Lei Li Yunfang Wu Xu Sun 23 15 0 13 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 36 1 0 12 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 404 0 12 Oct 2021
Estimating the confidence of speech spoofing countermeasure Xin Wang Junichi Yamagishi 20 7 0 10 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 22 38 0 08 Oct 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 89 29 0 06 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 186 328 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 38 124 0 29 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 16 5 0 14 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 151 74 0 12 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 22 21 0 12 Sep 2021
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 12 16 0 27 Aug 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Litong Feng Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 17 125 0 26 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 135 30 0 13 Aug 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 21 2 0 28 Jul 2021
Energy-based Unknown Intent Detection with Data Manipulation Yawen Ouyang Jiasheng Ye Yu Chen Xinyu Dai Shujian Huang Jiajun Chen 9 21 0 27 Jul 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 18 45 0 23 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 85 0 19 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 16 2 0 15 Jul 2021
A modular U-Net for automated segmentation of X-ray tomography images in composite materials João P C Bertoldo Etienne Decencière David Ryckelynck H. Proudhon 17 13 0 15 Jul 2021
Thinkback: Task-SpecificOut-of-Distribution Detection Lixuan Yang Dario Rossi OODD 11 1 0 13 Jul 2021
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors Tobias Riedlinger Matthias Rottmann Marius Schubert Hanno Gottschalk BDL UQCV 8 12 0 09 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 14 18 0 03 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 13 0 0 25 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 13 8 0 22 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 16 83 0 21 Jun 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 30 11 0 14 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 19 31 0 09 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 25 22 0 08 Jun 2021
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments Jingyang Zhang Nathan Inkawhich Randolph Linderman Yiran Chen H. Li OODD 14 52 0 07 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 20 1 0 07 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning Yatao Bian Yu Rong Tingyang Xu Jiaxiang Wu Andreas Krause Junzhou Huang 32 16 0 05 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 8 16 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 21 12 0 30 May 2021
Energy-Based Anomaly Detection and Localization Ergin Utku Genc Nilesh A. Ahuja I. Ndiour Omesh Tickoo 13 5 0 07 May 2021
Iterative Human and Automated Identification of Wildlife Images Zhongqi Miao Ziwei Liu Kaitlyn M. Gaynor M. Palmer Stella X. Yu W. Getz 14 46 0 05 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 31 235 0 05 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 20 114 0 30 Apr 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 13 57 0 23 Apr 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers Wenxuan Zhou Fangyu Liu Muhao Chen 11 98 0 18 Apr 2021
Out-of-Distribution Detection for Dermoscopic Image Classification Mohammadreza Mohseni J. Yap William Yolland M. Razmara S. Atkins 17 1 0 15 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 27 12 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 11 13 0 23 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 19 448 0 03 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 23 37 0 25 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip H. S. Torr Y. Gal UD UQCV PER BDL 18 145 0 23 Feb 2021
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine F. Tonin Arun Pandey Panagiotis Patrinos Johan A. K. Suykens OODD 59 14 0 16 Feb 2021