Why Normalizing Flows Fail to Detect Out-of-Distribution Data

15 June 2020

Papers citing "Why Normalizing Flows Fail to Detect Out-of-Distribution Data"

50 / 60 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 85 2 0 04 Mar 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories Hongzhe Cheng Tianyou Zheng Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi DiffM 55 0 0 23 Feb 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 40 0 0 23 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 36 4 0 16 Sep 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 45 1 0 04 Jul 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images Sukanya Patra Nicolas Sournac Souhaib Ben Taieb 39 1 0 23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 51 0 0 23 Jun 2024
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 43 0 0 06 Mar 2024
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
Out-of-Distribution Detection for Adaptive Computer Vision S. Lind Rudolph Triebel Luigi Nardi V. Krüger OODD 27 2 0 16 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 32 1 0 18 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 29 9 0 28 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 43 59 0 05 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 11 7 0 27 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 25 10 0 31 Jan 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 24 4 0 09 Jan 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 29 2 0 23 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 33 7 0 08 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 30 7 0 30 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 61 159 0 24 Nov 2022
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 22 46 0 20 Nov 2022
On the Connection of Generative Models and Discriminative Models for Anomaly Detection Jingxuan Pang Chunguang Li 23 0 0 16 Nov 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 12 1 0 24 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 24 27 0 31 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 55 3 0 09 Jul 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 58 16 0 29 Jun 2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto D. Meger Gregory Dudek 38 9 0 19 May 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 96 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Wang Gabriel Gozum Yixuan Li OODD 43 91 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 24 18 0 02 Mar 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 27 7 0 10 Feb 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 57 5 0 23 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 24 5 0 14 Jan 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Slava Voloshynovskiy T. Golling TPM 38 4 0 15 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 19 4 0 30 Nov 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 38 12 0 29 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 456 0 24 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 23 6 0 28 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 354 0 13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 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 29 4 0 10 Jun 2021