Deep Anomaly Detection with Outlier Exposure

11 December 2018

Papers citing "Deep Anomaly Detection with Outlier Exposure"

50 / 247 papers shown

Title
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 32 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 30 117 0 05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 27 0 0 05 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 67 94 0 30 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 24 2 0 27 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Domain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning Jinghao Yan Xin Wang Qin Wang Qin Qin Huan Li Pengyi Ye Yue-ping He Jing Zeng 31 1 0 31 Aug 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 31 0 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 21 29 0 29 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 36 113 0 24 Aug 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 26 4 0 23 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification Alessandro Wollek Theresa Willem Michael Ingrisch B. Sabel Tobias Lasser OOD 10 3 0 01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 27 0 31 Jul 2022
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety Puja Trivedi Danai Koutra Jayaraman J. Thiagarajan AAML 20 0 0 26 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 24 6 0 19 Jul 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers Sukmin Yun Jaehyung Kim Dongyoon Han Hwanjun Song Jung-Woo Ha Jinwoo Shin ViT 15 12 0 19 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 47 712 0 11 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 52 3 0 09 Jul 2022
Forecasting Future World Events with Neural Networks Andy Zou Tristan Xiao Ryan Jia Joe Kwon Mantas Mazeika Richard Li Dawn Song Jacob Steinhardt Owain Evans Dan Hendrycks 22 22 0 30 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 31 4 0 28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 27 113 0 28 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 13 25 0 20 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 21 10 0 15 Jun 2022
X-Risk Analysis for AI Research Dan Hendrycks Mantas Mazeika 27 67 0 13 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma Mike Papadakis Yves Le Traon OOD 28 10 0 11 Jun 2022
[Reproducibility Report] Explainable Deep One-Class Classification João P C Bertoldo Etienne Decencière 23 0 0 06 Jun 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 42 23 0 20 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 19 2 0 06 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 11 2 0 18 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 487 0 13 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 72 2,308 0 12 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 23 57 0 11 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 62 7 0 05 Apr 2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation Sohyun Lee Taeyoung Son Suha Kwak 45 72 0 04 Apr 2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL) C. Lee Kibae Lee 34 4 0 28 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 16 112 0 28 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 17 42 0 25 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 34 90 0 08 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 21 18 0 02 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection Konstantin Kirchheim Tim Gonschorek F. Ortmeier OODD 28 2 0 01 Mar 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 89 0 07 Feb 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut Junlin Han Pengfei Fang Weihong Li Jie Hong M. Armin Ian Reid L. Petersson Hongdong Li 27 27 0 28 Jan 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 54 5 0 23 Jan 2022
Open-Set Recognition of Breast Cancer Treatments Alexander Cao Diego Klabjan Yuan Luo BDL OOD 24 1 0 09 Jan 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 19 8 0 22 Dec 2021