Likelihood Ratios for Out-of-Distribution Detection

7 June 2019

Balaji Lakshminarayanan

OODD

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Papers citing "Likelihood Ratios for Out-of-Distribution Detection"

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Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 29 11 0 23 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 45 10 0 19 Aug 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 24 3 0 18 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 145 30 0 13 Aug 2021
DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models Wenxiao Chen Xiaohui Nie Mingliang Li Dan Pei OODD 18 1 0 12 Aug 2021
Margin-Aware Intra-Class Novelty Identification for Medical Images Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee 28 4 0 31 Jul 2021
Evaluating the Use of Reconstruction Error for Novelty Localization Patrick Feeney M. C. Hughes 13 3 0 28 Jul 2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection Bang Xiang Yong Tim Pearce Alexandra Brintrup OODD UQCV 19 6 0 28 Jul 2021
Resisting Out-of-Distribution Data Problem in Perturbation of XAI Luyu Qiu Yi Yang Caleb Chen Cao Jing Liu Yueyuan Zheng H. Ngai J. H. Hsiao Lei Chen 9 18 0 27 Jul 2021
Energy-based Unknown Intent Detection with Data Manipulation Yawen Ouyang Jiasheng Ye Yu Chen Xinyu Dai Shujian Huang Jiajun Chen 17 21 0 27 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 30 66 0 26 Jul 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 36 17 0 25 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift Yufei Li Simin Chen Wei Yang UQCV 21 3 0 23 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 32 21 0 20 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 85 0 19 Jul 2021
OODformer: Out-Of-Distribution Detection Transformer Rajat Koner Poulami Sinhamahapatra Karsten Roscher Stephan Günnemann Volker Tresp ViT 12 40 0 19 Jul 2021
Ranking labs-of-origin for genetically engineered DNA using Metric Learning I. M. Soares Fernando H. F. Camargo Adriano Marques 13 0 0 16 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 21 2 0 15 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Towards Robust Active Feature Acquisition Yang Li Siyuan Shan Qin Liu Junier B. Oliva TPM 18 4 0 09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 59 1,111 0 07 Jul 2021
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics Gregor Kasieczka Benjamin Nachman David Shih OOD 12 14 0 06 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 27 18 0 03 Jul 2021
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection Xinyi Wang Lang Tong BDL AI4TS 38 12 0 23 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 33 216 0 16 Jun 2021
X-MAN: Explaining multiple sources of anomalies in video Stanislaw Szymanowicz James Charles R. Cipolla AAML AI4TS 14 18 0 16 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Chen-Yu Lee Tomas Pfister 11 19 0 11 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 39 62 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 29 4 0 10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 19 59 0 08 Jun 2021
Detecting Anomalous Event Sequences with Temporal Point Processes Oleksandr Shchur Ali Caner Turkmen Tim Januschowski Jan Gasthaus Stephan Günnemann AI4TS 36 12 0 08 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free Alexander Meinke Julian Bitterwolf Matthias Hein OODD 33 22 0 08 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 24 7 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 27 325 0 06 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini G. Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 11 43 0 02 Jun 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 16 1 0 30 May 2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System Yanan Wu Zhiyuan Zeng Keqing He Hong Xu Yuanmeng Yan Huixing Jiang Weiran Xu 11 8 0 29 May 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning Zhiyuan Zeng Keqing He Yuanmeng Yan Zijun Liu Yanan Wu Hong Xu Huixing Jiang Weiran Xu 11 64 0 29 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 20 18 0 19 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Kernel Two-Sample Tests for Manifold Data Xiuyuan Cheng Yao Xie 14 9 0 07 May 2021
Energy-Based Anomaly Detection and Localization Ergin Utku Genc Nilesh A. Ahuja I. Ndiour Omesh Tickoo 18 5 0 07 May 2021
Distribution Awareness for AI System Testing David Berend 24 8 0 06 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 39 235 0 05 May 2021
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders Felix Möller Diego Botache Denis Huseljic Florian Heidecker Maarten Bieshaar Bernhard Sick OODD 19 25 0 04 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 34 114 0 30 Apr 2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection Songmin Dai Jide Li Lu Wang Congcong Zhu Yifan Wu Xiaoqiang Li 23 0 0 25 Apr 2021