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Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection

23 June 2021

Papers citing "Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection"

25 / 25 papers shown

Title
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 74 50 0 07 Dec 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 77 915 0 08 Jul 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney AI4TS AI4CE 172 152 0 04 Mar 2020
Universal Data Anomaly Detection via Inverse Generative Adversary Network Kursat Rasim Mestav L. Tong 34 16 0 23 Jan 2020
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 205 726 0 07 Jun 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 54 1,272 0 04 Apr 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 69 215 0 06 Feb 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 69 110 0 09 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,062 0 10 Jul 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 81 668 0 05 Jul 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 68 165 0 18 May 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 120 882 0 26 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 72 185 0 15 Nov 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA Philemon Brakel Yoshua Bengio OOD CML 63 94 0 13 Oct 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 49 374 0 12 Oct 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,472 0 07 Oct 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 150 1,825 0 15 Jun 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 103 1,262 0 07 Jun 2015
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 81 274 0 27 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,268 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
One-Class Classification: Taxonomy of Study and Review of Techniques Shehroz S. Khan Michael G. Madden 86 568 0 30 Nov 2013