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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Title
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup Hasan Asy’ari Arief P. J. Thomas T. Wiktorski OOD 26 4 0 23 Feb 2022
Confident Neural Network Regression with Bootstrapped Deep Ensembles Laurens Sluijterman Eric Cator Tom Heskes BDL UQCV FedML 16 2 0 22 Feb 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks A. Nguyen Fred Lu Gary Lopez Munoz Edward Raff Charles K. Nicholas James Holt UQCV 24 21 0 18 Feb 2022
The Met Dataset: Instance-level Recognition for Artworks Nikolaos-Antonios Ypsilantis Noa Garcia G. Han Sarah Ibrahimi Nanne van Noord Giorgos Tolias 33 43 0 03 Feb 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 40 14 0 31 Jan 2022
Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference Jayanta Dey Haoyin Xu Will LeVine Ashwin De Silva Tyler M. Tomita Ali Geisa Tiffany Chu Jacob Desman Joshua T. Vogelstein UQCV 29 0 0 31 Jan 2022
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap Carlos Mougan Dan Saattrup Nielsen 23 15 0 27 Jan 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 57 5 0 23 Jan 2022
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging Taoli Cheng Aaron Courville 32 6 0 18 Jan 2022
Adversarial vulnerability of powerful near out-of-distribution detection Stanislav Fort OODD 19 17 0 18 Jan 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling Nima Rafiee Rahil Gholamipoorfard Nikolas Adaloglou Simon Jaxy Julius Ramakers M. Kollmann OODD 17 8 0 17 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 19 45 0 07 Jan 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 21 8 0 22 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration Yu Wang Jingyang Lin Jingjing Zou Yingwei Pan Ting Yao Tao Mei OODD 32 12 0 15 Dec 2021
Out-of-Distribution Detection Without Class Labels Niv Cohen Ron Abutbul Yedid Hoshen OODD 24 10 0 14 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization Yang Chen Yu Wang Yingwei Pan Ting Yao Xinmei Tian Tao Mei 27 40 0 14 Dec 2021
Discrete neural representations for explainable anomaly detection Stanislaw Szymanowicz James Charles R. Cipolla AAML AI4TS FAtt 24 20 0 10 Dec 2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 16 10 0 05 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 32 86 0 01 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 8 19 0 01 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 11 1 0 30 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 455 0 24 Nov 2021
Out of distribution detection for skin and malaria images Muhammad Zaida Shafaqat Ali Mohsen Ali Sarfaraz Hussein A. Saadia Waqas Sultani 12 5 0 02 Nov 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 24 15 0 01 Nov 2021
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation Mrinal Rawat R. Hebbalaguppe L. Vig OODD 6 10 0 31 Oct 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 14 3 0 28 Oct 2021
Multi-Class Anomaly Detection Suresh Singh Minwei Luo Yu Li 19 1 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 38 191 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 30 29 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo Edward Choi OOD 25 3 0 18 Oct 2021
Information Theoretic Structured Generative Modeling Bo Hu Shujian Yu José C. Príncipe SyDa DRL 15 0 0 12 Oct 2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization Ye Zheng Xiang Wang Rui Deng Tianpeng Bao Rui Zhao Liwei Wu OOD 27 62 0 09 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 32 38 0 08 Oct 2021
A Uniform Framework for Anomaly Detection in Deep Neural Networks Fangzhen Zhao Chenyi Zhang Naipeng Dong Zefeng You Zhenxin Wu AAML OOD OODD 30 9 0 06 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 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 48 124 0 29 Sep 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 18 7 0 18 Sep 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 225 97 0 14 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation Derek Chen Zhou Yu 27 31 0 07 Sep 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 29 45 0 04 Sep 2021
DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning M. Mamun Kevin Shi 11 12 0 31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 30 125 0 26 Aug 2021
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding Rickard Sjögren J. Trygg OODD 6 1 0 24 Aug 2021