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Energy-based Out-of-distribution Detection

8 October 2020

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

47 / 847 papers shown

Title
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 105 131 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 203 31 0 13 Aug 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 83 3 0 28 Jul 2021
Energy-based Unknown Intent Detection with Data Manipulation Yawen Ouyang Jiasheng Ye Yu Chen Xinyu Dai Shujian Huang Jiajun Chen 41 23 0 27 Jul 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 76 48 0 23 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 76 91 0 19 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 50 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 44 14 0 15 Jul 2021
Thinkback: Task-SpecificOut-of-Distribution Detection Lixuan Yang Dario Rossi OODD 36 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 40 13 0 09 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 78 20 0 03 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 37 0 0 25 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 60 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 85 86 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 97 16 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 91 32 0 09 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 70 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 89 58 0 07 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 34 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 126 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 45 18 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 121 13 0 30 May 2021
Energy-Based Anomaly Detection and Localization Ergin Utku Genc Nilesh A. Ahuja I. Ndiour Omesh Tickoo 53 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 104 49 0 05 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 99 249 0 05 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 110 114 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 119 59 0 23 Apr 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers Wenxuan Zhou Fangyu Liu Muhao Chen 56 101 0 18 Apr 2021
Out-of-Distribution Detection for Dermoscopic Image Classification Mohammadreza Mohseni J. Yap William Yolland M. Razmara S. Atkins 27 1 0 15 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 83 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 48 13 0 23 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 107 462 0 03 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 247 197 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 104 39 0 25 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 126 156 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 111 14 0 16 Feb 2021
Model Rectification via Unknown Unknowns Extraction from Deployment Samples B. Abrahao Zechuan Wang Haider Ahmed Yuchen Zhu 33 0 0 08 Feb 2021
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OODD 41 5 0 15 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 98 50 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 76 9 0 25 Nov 2020
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation Sha Lu Lin Liu Kui Yu T. Le Jixue Liu Jiuyong Li 20 0 0 13 Nov 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 55 9 0 16 Oct 2020
Hybrid Discriminative-Generative Training via Contrastive Learning Hao Liu Pieter Abbeel SSL 80 40 0 17 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 102 140 0 26 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 58 24 0 07 Jun 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 231 87 0 21 Mar 2020
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 68 33 0 15 Aug 2019