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Autoencoding Under Normalization Constraints

12 May 2021

Papers citing "Autoencoding Under Normalization Constraints"

39 / 39 papers shown

Title
Autoencoders for Anomaly Detection are Unreliable Roel Bouman Tom Heskes 73 2 0 23 Jan 2025
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 100 1 0 29 May 2024
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 72 263 0 09 Jan 2021
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 71 50 0 07 Dec 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 223 14 0 24 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 67 124 0 01 Oct 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 90 163 0 31 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 148 194 0 06 Mar 2020
Latent Variables on Spheres for Autoencoders in High Dimensions Deli Zhao Jiapeng Zhu Bo Zhang DRL 24 10 0 21 Dec 2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Tianlin Li Marc van Zee Olivier Bousquet CoGe 68 353 0 20 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 85 543 0 06 Dec 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 146 276 0 25 Sep 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 192 722 0 07 Jun 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 89 213 0 22 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 65 55 0 11 Apr 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 49 1,265 0 04 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 81 272 0 29 Mar 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,483 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 66 757 0 22 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 150 873 0 02 Oct 2018
Spherical Latent Spaces for Stable Variational Autoencoders Jiacheng Xu Greg Durrett BDL DRL 68 195 0 31 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 45 322 0 06 Jul 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 67 668 0 05 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder Yuchen Lu Peng Xu DRL 46 73 0 03 Jul 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 78 1,393 0 17 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 109 384 0 03 Apr 2018
Group Normalization Yuxin Wu Kaiming He 231 3,669 0 22 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 157 4,440 0 16 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 228 5,019 0 02 Nov 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 105 942 0 19 Jan 2017
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 139 1,114 0 11 Sep 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 94 320 0 10 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 479 2,570 0 25 Jan 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,550 0 16 Oct 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 70 503 0 18 Nov 2012