Out-of-Distribution Detection with Reconstruction Error and
Typicality-based Penalty

Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty

24 December 2022

Tsubasa Takahashi

Takashi Nishide

Papers citing "Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty"

16 / 16 papers shown

Title
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation Shunsuke Sakai Tatsuhito Hasegawa 31 0 0 08 Apr 2025
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 66 3 0 18 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 50 0 0 05 Sep 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 39 1 0 04 Jul 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 38 0 0 11 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 40 5 0 08 Apr 2024
What makes an image realistic? Lucas Theis 46 4 0 07 Mar 2024
Unsupervised Recognition of Unknown Objects for Open-World Object Detection Ru Fang Guansong Pang Lei Zhou Xiaolong Bai Jingyi Zheng 13 5 0 31 Aug 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing Ruiyong Sun Andi Zhang Haiming Zhang Jinke Ren Yao Zhu Ruimao Zhang Shuguang Cui Zhen Li OODD 28 1 0 26 May 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models Yufeng Zhang Jia Pan Wanwei Liu Zhenbang Chen J. Wang Zhiming Liu KenLi Li H. Wei OODD DRL 22 2 0 09 Feb 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014