Input complexity and out-of-distribution detection with likelihood-based generative models

25 September 2019

Papers citing "Input complexity and out-of-distribution detection with likelihood-based generative models"

50 / 66 papers shown

Title
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
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 149 0 0 09 Feb 2025
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
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 155 0 0 27 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 1 0 11 Oct 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
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
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
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
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 29 1 0 30 Nov 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
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 33 23 0 26 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N. Konz Haoyu Dong Maciej Mazurowski 33 2 0 04 May 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images Zhongzheng Huang Tao Wang Yuanzheng Cai Lingyu Liang 27 0 0 18 Jan 2023
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 66 159 0 24 Nov 2022
Denoising diffusion models for out-of-distribution detection M. Graham W. H. Pinaya Petru-Daniel Tudosiu P. Nachev Sebastien Ourselin M. Jorge Cardoso 38 72 0 14 Nov 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 13 6 0 23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 62 24 0 13 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 39 117 0 05 Oct 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 25 4 0 26 Sep 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 24 6 0 19 Jul 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 47 23 0 20 May 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 40 57 0 11 Apr 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
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 27 5 0 14 Jan 2022
A Style and Semantic Memory Mechanism for Domain Generalization Yang Chen Yu Wang Yingwei Pan Ting Yao Xinmei Tian Tao Mei 27 40 0 14 Dec 2021
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 35 86 0 01 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 456 0 24 Nov 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
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 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
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 39 125 0 26 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 29 11 0 23 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 23 17 0 05 Aug 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 38 17 0 25 Jul 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
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 20 18 0 19 May 2021