A Geometric Explanation of the Likelihood OOD Detection Paradox

A Geometric Explanation of the Likelihood OOD Detection Paradox

27 March 2024

Hamidreza Kamkari

Brendan Leigh Ross

Jesse C. Cresswell

Anthony L. Caterini

Rahul G. Krishnan

G. Loaiza-Ganem

Papers citing "A Geometric Explanation of the Likelihood OOD Detection Paradox"

15 / 15 papers shown

Title
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection Weicheng He Changshun Wu Chih-Hong Cheng Xiaowei Huang Saddek Bensalem OODD 51 0 0 10 Mar 2025
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 61 6 0 31 Oct 2024
Losing dimensions: Geometric memorization in generative diffusion Beatrice Achilli Enrico Ventura Gianluigi Silvestri Bao Pham G. Raya Dmitry Krotov Carlo Lucibello L. Ambrogioni 48 4 0 11 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 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
A Wiener process perspective on local intrinsic dimension estimation methods Piotr Tempczyk Łukasz Garncarek Dominik Filipiak Adam Kurpisz 44 1 0 24 Jun 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari Brendan Leigh Ross Rasa Hosseinzadeh Jesse C. Cresswell G. Loaiza-Ganem DiffM 40 11 0 05 Jun 2024
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 39 7 0 05 Dec 2023
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models Joseph Goodier Neill D.F. Campbell DiffM 43 6 0 26 Oct 2023
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 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
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 197 260 0 18 Apr 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 32 71 0 16 Feb 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017