Likelihood Ratios for Out-of-Distribution Detection

7 June 2019

Balaji Lakshminarayanan

OODD

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Papers citing "Likelihood Ratios for Out-of-Distribution Detection"

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Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 70 1 0 17 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
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 32 10 0 02 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 43 1 0 29 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 51 1 0 20 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 29 0 0 05 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 36 2 0 05 May 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 27 4 0 25 Apr 2024
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images Mareike Thies Noah Maul Siyuan Mei Laura Pfaff Nastassia Vysotskaya ... Jonas Utz Dennis Possart Lukas Folle Fabian Wagner Andreas Maier MedIm DiffM 31 0 0 23 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 23 0 17 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen Fabrice Gamboa Reda Chhaibi Sixin Zhang Serge Gratton Thierry Giaccone FedML UQCV 25 0 0 12 Apr 2024
Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes Poulami Sinhamahapatra Franziska Schwaiger Shirsha Bose Huiyu Wang Karsten Roscher Stephan Guennemann 25 3 0 11 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 45 1 0 09 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Andi Zhang Tim Z. Xiao Weiyang Liu Robert Bamler Damon J. Wischik OODD 51 4 0 07 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 34 9 0 27 Mar 2024
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots Kevin J. Leahy H. Siu 27 2 0 21 Mar 2024
Hypothesis-Driven Deep Learning for Out of Distribution Detection Yasith Jayawardana Azeem Ahmad B. Ahluwalia Rafi Ahmad Sampath Jayarathna D. Wadduwage OOD 19 0 0 21 Mar 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
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 49 0 0 03 Mar 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection Pei Wang Keqing He Yejie Wang Xiaoshuai Song Yutao Mou Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 35 6 0 27 Feb 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection Genki Osada Tsubasa Takahashi Takashi Nishide OODD 11 1 0 16 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 20 32 0 12 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 58 22 0 05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 33 3 0 04 Feb 2024
Accelerated Sampling of Rare Events using a Neural Network Bias Potential Xinru Hua R. Ahmad Jose Blanchet Wei Cai AI4CE 82 3 0 13 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 30 0 0 10 Jan 2024
An Ambiguity Measure for Recognizing the Unknowns in Deep Learning Roozbeh Yousefzadeh AAML UQCV 33 0 0 11 Dec 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 38 1 0 23 Nov 2023
Towards Few-shot Out-of-Distribution Detection Jiuqing Dong Yongbin Gao Heng Zhou Jun Cen Yifan Yao Sook Yoon Park Dong Sun OODD 32 3 0 20 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 49 0 0 15 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 32 4 0 11 Nov 2023
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos Divyanshu Mishra He Zhao Pramit Saha A. Papageorghiou J. A. Noble MedIm 27 10 0 01 Nov 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 21 2 0 29 Oct 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
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 24 10 0 25 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 21 2 0 25 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection Pei Wang Keqing He Yutao Mou Xiaoshuai Song Yanan Wu Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 21 3 0 20 Oct 2023
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes Y. Balytskyi Nataliia Kalashnyk Inna Hubenko A. Balytska Kelly L McNear AAML 19 1 0 19 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 32 1 0 19 Oct 2023
Open-Set Multivariate Time-Series Anomaly Detection Thomas Lai Thi Kieu Khanh Ho Narges Armanfard AI4TS 45 3 0 18 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 52 3 0 10 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 24 6 0 08 Oct 2023
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness Yanzhao Wu Ka-Ho Chow Wenqi Wei Ling Liu FedML AAML UQCV 29 8 0 03 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 31 2 0 03 Oct 2023
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy Nastaran Darabi Sina Tayebati S. Sureshkumar Sathya Ravi Theja Tulabandhula A. R. Trivedi 38 6 0 20 Sep 2023
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features Jaeik Jeon S. Ha Yeonggul Jang Y. Yoon Jiyeon Kim Hyunseok Jeong D. Jeong Youngtaek Hong Seung-Ah Lee Hyuk-Jae Chang 11 3 0 31 Aug 2023
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
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection Guodong Wang Yun Wang Jie Qin Dongming Zhang Xiuguo Bao Di Huang 33 4 0 20 Aug 2023
Smoothness Similarity Regularization for Few-Shot GAN Adaptation V. Sushko Ruyu Wang Juergen Gall 36 2 0 18 Aug 2023