Deep Anomaly Detection with Outlier Exposure

11 December 2018

Papers citing "Deep Anomaly Detection with Outlier Exposure"

50 / 247 papers shown

Title
Discrete neural representations for explainable anomaly detection Stanislaw Szymanowicz James Charles R. Cipolla AAML AI4TS FAtt 19 20 0 10 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 136 0 09 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 30 86 0 01 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 24 15 0 01 Nov 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Jongmin Yu Hyeontaek Oh Minkyung Kim Junsik Kim 22 10 0 28 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 25 29 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart César Cadena 36 12 0 06 Oct 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 23 5 0 28 Sep 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 14 0 0 27 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 30 16 0 20 Sep 2021
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems Di Jin Shuyang Gao Seokhwan Kim Yang Liu Dilek Z. Hakkani-Tür 16 7 0 18 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 22 21 0 12 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 26 0 0 07 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation Derek Chen Zhou Yu 19 31 0 07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 49 515 0 31 Aug 2021
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models Myeongjun Jang Thomas Lukasiewicz 22 4 0 29 Aug 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Litong Feng Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 19 125 0 26 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 23 11 0 23 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 16 34 0 18 Aug 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 16 3 0 18 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 137 30 0 13 Aug 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 10 23 0 12 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 38 18 0 09 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 19 48 0 03 Aug 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris 18 12 0 21 Jul 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 57 62 0 16 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 21 2 0 15 Jul 2021
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 18 31 0 13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Towards Consistent Predictive Confidence through Fitted Ensembles Navid Kardan Ankit Sharma Kenneth O. Stanley FedML OODD 16 8 0 22 Jun 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 24 22 0 22 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 20 15 0 18 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 33 216 0 16 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 20 4 0 15 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 21 4 0 10 Jun 2021
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions Y. Kawaguchi Keisuke Imoto Yuma Koizumi N. Harada Daisuke Niizumi Kota Dohi Ryo Tanabe Harsh Purohit Takashi Endo 21 91 0 08 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 15 4 0 02 Jun 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Distribution Awareness for AI System Testing David Berend 11 8 0 06 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 31 235 0 05 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 26 114 0 30 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion Shivam Khare Kun Cao James M. Rehg SSL CLL 16 6 0 09 Apr 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation Petro Marek V. Naik Vincent Auvray Anuj Kumar Goyal 25 32 0 06 Apr 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 12 17 0 29 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 28 330 0 22 Mar 2021
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection Kota Dohi Takashi Endo Harsh Purohit Ryo Tanabe Y. Kawaguchi 22 58 0 16 Mar 2021
A Review and Refinement of Surprise Adequacy Michael Weiss Rwiddhi Chakraborty Paolo Tonella AAML AI4TS 11 16 0 10 Mar 2021