Deep Anomaly Detection by Residual Adaptation

5 October 2020

Lucas Deecke

Lukas Ruff

Robert A. Vandermeulen

Hakan Bilen

UQCV

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Papers citing "Deep Anomaly Detection by Residual Adaptation"

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Title
Latent Domain Learning with Dynamic Residual Adapters Lucas Deecke Timothy M. Hospedales Hakan Bilen 31 8 0 01 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 59 89 0 30 May 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 42 348 0 05 May 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 126 430 0 13 Apr 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 53 159 0 24 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 205 315 0 07 Feb 2020
Detecting semantic anomalies Faruk Ahmed Aaron Courville 36 83 0 13 Aug 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath D. Song OOD SSL 34 940 0 28 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 69 135 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 39 543 0 06 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 61 208 0 29 May 2019
DocBERT: BERT for Document Classification Ashutosh Adhikari Achyudh Ram Raphael Tang Jimmy J. Lin LLMAG VLM 32 296 0 17 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy Kyle Lo Arman Cohan 83 2,948 0 26 Mar 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 106 523 0 20 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 62 726 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 119 1,468 0 11 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 102 1,451 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 102 1,081 0 21 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 62 447 0 21 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.0K 93,936 0 11 Oct 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 37 320 0 06 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 98 432 0 04 Jul 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 69 603 0 28 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 62 1,377 0 17 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 78 1,209 0 23 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 47 828 0 10 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 198 3,272 0 21 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 93 690 0 25 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 47 1,336 0 16 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 38 449 0 14 Feb 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 69 349 0 05 Feb 2018
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 112 1,468 0 12 Jan 2018
Advances in Pre-Training Distributed Word Representations Tomas Mikolov Edouard Grave Piotr Bojanowski Christian Puhrsch Armand Joulin AI4TS VLM 87 1,238 0 26 Dec 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 66 520 0 02 Nov 2017
The Consciousness Prior Yoshua Bengio DRL AI4CE 37 229 0 25 Sep 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 72 2,684 0 26 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 100 2,054 0 08 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 50 310 0 24 May 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 88 924 0 22 May 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 63 2,219 0 17 Mar 2017
A Structured Self-attentive Sentence Embedding Zhouhan Lin Minwei Feng Cicero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou Yoshua Bengio 106 2,132 0 09 Mar 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds Hakan Bilen Andrea Vedaldi 54 147 0 25 Jan 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 279 7,410 0 02 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 103 3,420 0 07 Oct 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 55 426 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Fast R-CNN Ross B. Girshick ObjD 277 24,976 0 30 Apr 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 78 929 0 11 Mar 2015
A Meta-Analysis of the Anomaly Detection Problem Andrew Emmott S. Das Thomas G. Dietterich Alan Fern Weng-Keen Wong 43 174 0 03 Mar 2015
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 224 26,122 0 11 Nov 2013