Do autoencoders need a bottleneck for anomaly detection?

25 February 2022

Papers citing "Do autoencoders need a bottleneck for anomaly detection?"

14 / 14 papers shown

Title
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 88 87 0 29 Aug 2020
Finite Versus Infinite Neural Networks: an Empirical Study Jaehoon Lee S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Narain Sohl-Dickstein 80 214 0 31 Jul 2020
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 237 54 0 17 Oct 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 89 759 0 22 Oct 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 266 1,901 0 28 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 492 2,521 0 08 Jun 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 437 10,548 0 21 Jul 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 176 5,049 0 27 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 894 9,364 0 06 Jun 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 240 2,541 0 03 Jun 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 128 913 0 17 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 484 16,922 0 20 Dec 2013
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 86 128 0 12 Dec 2013