Unsupervised Out-of-Distribution Detection with Batch Normalization

Unsupervised Out-of-Distribution Detection with Batch Normalization

21 October 2019

Papers citing "Unsupervised Out-of-Distribution Detection with Batch Normalization"

19 / 19 papers shown

Title
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney D. Song AAML 113 47 0 16 Mar 2020
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Balaji Lakshminarayanan OODD 45 86 0 07 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 158 720 0 07 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 157 1,475 0 11 Dec 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 51 756 0 22 Oct 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series Dan Li Dacheng Chen Jonathan Goh See-kiong Ng AI4TS 48 297 0 13 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 254 3,124 0 09 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 40 320 0 06 Jul 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 208 304 0 21 May 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 56 252 0 15 Mar 2018
Novelty Detection with GAN M. Kliger S. Fleishman 51 57 0 28 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 233 8,856 0 25 Aug 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 125 2,525 0 26 Oct 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 229 3,689 0 26 May 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 98 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 163 328 0 09 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 427 2,566 0 25 Jan 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 227 14,893 1 21 Dec 2013
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 177 3,587 0 27 Jul 2009

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