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"

48 / 48 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 78 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 50 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 34 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 78 14 0 09 Dec 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 31 4 0 16 Sep 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 37 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 24 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 39 0 0 23 Jun 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 31 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 35 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 37 0 0 26 Aug 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 22 1 0 18 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 21 9 0 28 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 27 59 0 05 Mar 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 20 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 27 2 0 23 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 19 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 37 157 0 24 Nov 2022
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 14 46 0 20 Nov 2022
On the Connection of Generative Models and Discriminative Models for Anomaly Detection Jingxuan Pang Chunguang Li 15 0 0 16 Nov 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 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 50 3 0 09 Jul 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 45 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 22 94 0 08 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 32 89 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 8 18 0 02 Mar 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 19 7 0 10 Feb 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 49 5 0 23 Jan 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 16 5 0 14 Jan 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey S. Voloshynovskiy T. Golling TPM 30 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 11 4 0 30 Nov 2021
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 28 12 0 29 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 17 453 0 24 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 89 353 0 13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 151 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 9 19 0 24 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 19 4 0 10 Jun 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 8 83 0 19 Apr 2021
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection Kota Dohi Takashi Endo Harsh Purohit Ryo Tanabe Y. Kawaguchi 14 58 0 16 Mar 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization Ilya Kostrikov Jonathan Tompson Rob Fergus Ofir Nachum OffRL 21 300 0 14 Mar 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 200 81 0 16 Feb 2021
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 6 64 0 06 Nov 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 17 169 0 16 Jun 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016