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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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
Brittle Features May Help Anomaly Detection Kimberly T. Mai Toby P Davies Lewis D. Griffin 22 2 0 21 Apr 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 21 83 0 19 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 13 754 0 08 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 104 0 08 Apr 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation Petro Marek V. Naik Vincent Auvray Anuj Kumar Goyal 27 32 0 06 Apr 2021
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee Sehun Yu Hwanjo Yu OODD 11 34 0 02 Apr 2021
The Compact Support Neural Network Adrian Barbu Hongyu Mou 11 5 0 01 Apr 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows M. Valiuddin C.G.A. Viviers OODD 16 0 0 23 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
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 330 0 22 Mar 2021
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection Kota Dohi Takashi Endo Harsh Purohit Ryo Tanabe Y. Kawaguchi 22 58 0 16 Mar 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Bayesian OOD detection with aleatoric uncertainty and outlier exposure Xi Wang Laurence Aitchison UD 17 14 0 24 Feb 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 25 23 0 24 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies Mike Walmsley Chris J. Lintott Tobias Geron Sandor Kruk Coleman M Krawczyk ... B. Simmons R. Smethurst Lewis Smith E. Baeten C. Macmillan MDE 78 80 0 16 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 32 71 0 16 Feb 2021
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review Jie Yuan Xuming Ran Keyin Liu Chen Yao Yi Yao Haiyan Wu Quanying Liu OOD 24 48 0 05 Feb 2021
Probabilistic Trust Intervals for Out of Distribution Detection Gagandeep Singh Deepak Mishra UQCV AAML OOD 14 0 0 02 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 65 507 0 14 Jan 2021
Analysis of skin lesion images with deep learning Josef Steppan S. Hanke 27 14 0 11 Jan 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 95 82 0 11 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation G. Stein U. Seljak B. Dai 16 33 0 21 Dec 2020
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OODD 16 4 0 15 Dec 2020
FSOCO: The Formula Student Objects in Context Dataset Niclas Vodisch David Dodel Michael Schötz 27 12 0 13 Dec 2020
Comparison of Anomaly Detectors: Context Matters V. Škvára Jan Francå Matěj Zorek Tomás Pevný Václav Smídl 21 9 0 11 Dec 2020
Semi-supervised novelty detection using ensembles with regularized disagreement A. Tifrea E. Stavarache Fanny Yang UQCV 37 6 0 10 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features I. Ndiour Nilesh A. Ahuja Omesh Tickoo OODD 17 22 0 08 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 30 49 0 07 Dec 2020
An overview of 11 proposals for building safe advanced AI Evan Hubinger AAML 22 23 0 04 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment Jeonghoon Park Kyungmin Jo Daehoon Gwak Jimin Hong Jaegul Choo Edward Choi OODD 21 1 0 26 Nov 2020
Dense open-set recognition with synthetic outliers generated by Real NVP Matej Grcić Petra Bevandić Sinisa Segvic 16 40 0 22 Nov 2020
Probing Predictions on OOD Images via Nearest Categories Yao-Yuan Yang Cyrus Rashtchian Ruslan Salakhutdinov Kamalika Chaudhuri AAML 33 0 0 17 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 11 199 0 04 Nov 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 22 30 0 25 Oct 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 17 39 0 25 Oct 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Zaid Nabulsi Andrew Sellergren Shahar Jamshy Charles Lau E. Santos ... Daniel Tse Neeral Beladia Yun-Hui Liu Po-Hsuan Cameron Chen S. Shetty 28 37 0 22 Oct 2020
Stationary Activations for Uncertainty Calibration in Deep Learning Lassi Meronen Christabella Irwanto Arno Solin UQCV BDL 6 18 0 19 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 89 1,292 0 08 Oct 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 14 3 0 05 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 20 780 0 24 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 21 26 0 23 Sep 2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering Doyup Lee Yeongjae Cheon Wook-Shin Han AAML OOD 8 16 0 21 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 14 2 0 17 Sep 2020
Fair and accurate age prediction using distribution aware data curation and augmentation Yushi Cao David Berend Palina Tolmach Guy Amit Mosh Levy Yang Liu A. Shabtai Yuval Elovici CVBM 17 8 0 11 Sep 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples Julia Lust A. P. Condurache UQCV AAML AI4CE 21 7 0 21 Aug 2020