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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FOOD: Fast Out-Of-Distribution Detector Guy Amit Moshe Levy Ishai Rosenberg A. Shabtai Yuval Elovici OODD 25 4 0 16 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 588 0 16 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 42 50 0 16 Jul 2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer Aswin Raghavan Jesse Hostetler Indranil Sur Abrar Rahman Ajay Divakaran CLL 16 7 0 14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 18 159 0 14 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 19 234 0 10 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 16 58 0 08 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 16 896 0 06 Jul 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 8 36 0 01 Jul 2020
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches Vahdat Abdelzad Krzysztof Czarnecki Rick Salay 24 1 0 25 Jun 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features R. Schirrmeister Yuxuan Zhou T. Ball Dan Zhang UQCV 14 88 0 18 Jun 2020
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets Roozbeh Yousefzadeh Furong Huang 19 6 0 17 Jun 2020
Density of States Estimation for Out-of-Distribution Detection Warren Morningstar Cusuh Ham Andrew Gallagher Balaji Lakshminarayanan Alexander A. Alemi Joshua V. Dillon OODD 14 83 0 16 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 11 271 0 15 Jun 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 27 10 0 14 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 18 348 0 13 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 21 32 0 09 Jun 2020
Surprisal-Triggered Conditional Computation with Neural Networks Loren Lugosch Derek Nowrouzezahrai B. Meyer 27 6 0 02 Jun 2020
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flows D. Reiman John Tamanas J. Prochaska Dominika Ďurovčíková 18 6 0 31 May 2020
Detecting and Understanding Generalization Barriers for Neural Machine Translation Guanlin Li Lemao Liu Conghui Zhu T. Zhao Shuming Shi 11 0 0 05 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 28 184 0 27 Mar 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman Avneesh Sud Nick Dufour Kate Saenko OOD 11 13 0 26 Mar 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 84 0 21 Mar 2020
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest Xuan Li Yuchen Lu Christian Desrosiers Xue Liu 9 20 0 20 Mar 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 12 187 0 06 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 14 55 0 04 Mar 2020
Med7: a transferable clinical natural language processing model for electronic health records Andrey Kormilitzin N. Vaci Qiang Liu A. Nevado-Holgado 19 115 0 03 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection? Ryo Kamoi Kei Kobayashi OODD 30 59 0 01 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 24 558 0 26 Feb 2020
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models Yufeng Zhang Jia Pan Wanwei Liu Zhenbang Chen J. Wang Zhiming Liu KenLi Li H. Wei OODD DRL 42 2 0 09 Feb 2020
Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification Liangping Ma John Kaewell UQCV 4 4 0 31 Jan 2020
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting Hisaichi Shibata S. Hanaoka Y. Nomura Takahiro Nakao Issei Sato D. Sato Naoto Hayashi O. Abe MedIm 6 2 0 22 Jan 2020
Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier Xin Wang 16 0 0 02 Jan 2020
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog Varun Gangal Abhinav Arora Arash Einolghozati S. Gupta OODD 14 53 0 30 Dec 2019
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices Chandramouli Shama Sastry Sageev Oore OODD 11 52 0 28 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 18 63 0 11 Dec 2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output Vahdat Abdelzad Krzysztof Czarnecki Rick Salay Taylor Denouden Sachin Vernekar Buu Phan OODD 24 45 0 23 Oct 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization Jiaming Song Yang Song Stefano Ermon OODD 19 22 0 21 Oct 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 21 83 0 09 Oct 2019
Towards neural networks that provably know when they don't know Alexander Meinke Matthias Hein OODD 33 139 0 26 Sep 2019
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 11 273 0 25 Sep 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems Yinhe Zheng Guanyi Chen Minlie Huang 28 121 0 09 Sep 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 22 31 0 15 Aug 2019
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain Ge Liu Jonas W. Mueller David K Gifford UQCV 13 59 0 18 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 29 1,658 0 06 Jun 2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity Engkarat Techapanurak Masanori Suganuma Takayuki Okatani OODD 11 28 0 25 May 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016