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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 847 papers shown

Title
A Continual Learning Framework for Adaptive Defect Classification and Inspection Wenbo Sun Raed Al Kontar Judy Jin Tzyy-Shuh Chang 47 11 0 16 Mar 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes F. Alberge Pierre Duhamel Pablo Piantanida OODD 178 29 0 15 Mar 2022
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection Hanlei Zhang Huan Xu Shaojie Zhao Qianrui Zhou 86 20 0 11 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 173 104 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 120 93 0 08 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 38 12 0 04 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 52 10 0 03 Mar 2022
Fine-grained TLS services classification with reject option Jan Luxemburk T. Čejka 65 34 0 24 Feb 2022
Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography Satoshi Kondo Satoshi Kasai Kosuke Hirasawa 44 2 0 24 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 76 92 0 07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii A. Artemenkov Kirill Fedyanin Fedor Noskov Alexander Fishkov Artem Shelmanov Artem Vazhentsev Aleksandr Petiushko Maxim Panov UQCV BDL 106 30 0 07 Feb 2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction Molly O'Brien Julia V. Bukowski Mathias Unberath Aria Pezeshk Gregory Hager AI4CE 56 0 0 03 Feb 2022
Active Learning Over Multiple Domains in Natural Language Tasks Shayne Longpre Julia Reisler E. G. Huang Yi Lu Andrew J. Frank Nikhil Ramesh Chris DuBois OOD 97 13 0 01 Feb 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 99 5 0 23 Jan 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection R. Kaur Susmit Jha Anirban Roy Sangdon Park Yan Sun O. Sokolsky Insup Lee OODD 64 47 0 07 Jan 2022
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 93 11 0 23 Dec 2021
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 40 8 0 22 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 81 2 0 20 Dec 2021
WOOD: Wasserstein-based Out-of-Distribution Detection Yinan Wang Wenbo Sun Jionghua Jin Zhen Kong Xiaowei Yue OODD 62 9 0 13 Dec 2021
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection Samuel Wilson Tobias Fischer Niko Sünderhauf Feras Dayoub OODD 84 16 0 10 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng Guoren Wang 100 115 0 02 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 112 95 0 01 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 64 12 0 01 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 81 20 0 01 Dec 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 59 12 0 29 Nov 2021
SLA $^2$ P: Self-supervised Anomaly Detection with Adversarial Perturbation Yizhou Wang Can Qin Rongzhe Wei Yi Tian Xu Yue Bai Y. Fu AAML 60 5 0 25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 120 487 0 24 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian Yuyuan Liu Guansong Pang Fengbei Liu Yuanhong Chen G. Carneiro 165 88 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 162 163 0 18 Nov 2021
Class-wise Thresholding for Robust Out-of-Distribution Detection Matteo Guarrera Baihong Jin Tung-Wei Lin Maria A. Zuluaga Yuxin Chen Alberto L. Sangiovanni-Vincentelli OODD OOD 91 3 0 28 Oct 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 72 6 0 28 Oct 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 162 199 0 26 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 65 30 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 120 89 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 309 950 0 21 Oct 2021
EBJR: Energy-Based Joint Reasoning for Adaptive Inference Mohammad Akbari Amin Banitalebi-Dehkordi Yong Zhang BDL MQ 82 7 0 20 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo Edward Choi OOD 79 3 0 18 Oct 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection Koby Bibas M. Feder Tal Hassner OODD 79 24 0 18 Oct 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks Guangxiang Zhao Wenkai Yang Xuancheng Ren Lei Li Hao Sun Xu Sun 91 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 94 2 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 259 437 0 12 Oct 2021
Estimating the confidence of speech spoofing countermeasure Xin Wang Junichi Yamagishi 38 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 64 40 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 154 29 0 06 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 302 355 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 164 127 0 29 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 69 5 0 14 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 198 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 Percy Liang OODD 70 25 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 39 17 0 27 Aug 2021