A Unifying Review of Deep and Shallow Anomaly Detection

24 September 2020

Lukas Ruff

Jacob R. Kauffmann

Robert A. Vandermeulen

Papers citing "A Unifying Review of Deep and Shallow Anomaly Detection"

50 / 226 papers shown

Title
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 71 52 0 18 Nov 2019
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 38 21 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 294 2,387 0 11 Nov 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 109 137 0 22 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 123 332 0 02 Oct 2019
Towards neural networks that provably know when they don't know Alexander Meinke Matthias Hein OODD 75 141 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 134 276 0 25 Sep 2019
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Weizhong Yan Lijie Yu AI4CE 49 146 0 25 Aug 2019
Noise Flow: Noise Modeling with Conditional Normalizing Flows A. Abdelhamed Marcus A. Brubaker M. S. Brown 44 174 0 22 Aug 2019
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection Jue Wang A. Cherian CML 51 114 0 16 Aug 2019
Detecting semantic anomalies Faruk Ahmed Aaron Courville 43 83 0 13 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 193 1,465 0 16 Jul 2019
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection Xiaoyi Gu Leman Akoglu Alessandro Rinaldo 122 96 0 08 Jul 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath D. Song OOD SSL 56 944 0 28 Jun 2019
A Survey on GANs for Anomaly Detection Federico Di Mattia P. Galeone M. D. Simoni Emanuele Ghelfi 80 127 0 27 Jun 2019
Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions Kristof T. Schütt M. Gastegger A. Tkatchenko K. Müller R. Maurer AI4CE 71 388 0 24 Jun 2019
Connectivity-Optimized Representation Learning via Persistent Homology Christoph Hofer Roland Kwitt Mandar Dixit Marc Niethammer 58 77 0 21 Jun 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 78 330 0 19 Jun 2019
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Balaji Lakshminarayanan OODD 47 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 172 720 0 07 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 54 544 0 06 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 74 2,345 0 06 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 159 1,688 0 06 Jun 2019
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 52 209 0 05 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 123 1,804 0 02 Jun 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 88 134 0 29 May 2019
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators Alexander Tong Guy Wolf Smita Krishnaswamy 27 4 0 26 May 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems Chien-Sheng Wu Andrea Madotto Ehsan Hosseini-Asl Caiming Xiong R. Socher Pascale Fung 73 435 0 21 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 89 1,836 0 06 May 2019
Visualizing Deep Networks by Optimizing with Integrated Gradients Zhongang Qi Saeed Khorram Fuxin Li FAtt 58 123 0 02 May 2019
A critical analysis of self-supervision, or what we can learn from a single image Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 64 146 0 30 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 47 1,258 0 04 Apr 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition Poojan Oza Vishal M. Patel 105 320 0 02 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 156 3,423 0 28 Mar 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 108 525 0 20 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 84 1,009 0 26 Feb 2019
Revealing quantum chaos with machine learning Y. Kharkov V. E. Sotskov A. A. Karazeev E. Kiktenko A. Fedorov AI4CE 54 27 0 25 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 81 901 0 18 Feb 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 50 63 0 13 Feb 2019
On the Calibration of Multiclass Classification with Rejection Chenri Ni Nontawat Charoenphakdee Junya Honda Masashi Sugiyama 36 55 0 30 Jan 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 67 726 0 28 Jan 2019
Unsupervised speech representation learning using WaveNet autoencoders J. Chorowski Ron J. Weiss Samy Bengio Aaron van den Oord SSL 72 318 0 25 Jan 2019
One-Class Convolutional Neural Network Poojan Oza Vishal M. Patel 55 160 0 24 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 127 2,542 0 24 Jan 2019
A PCB Dataset for Defects Detection and Classification Weibo Huang Peng Wei 28 88 0 24 Jan 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 73 773 0 15 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 144 1,491 0 10 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 64 443 0 12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 171 1,475 0 11 Dec 2018