Generalized Out-of-Distribution Detection: A Survey

21 October 2021

Papers citing "Generalized Out-of-Distribution Detection: A Survey"

50 / 156 papers shown

Title
What Is AI Safety? What Do We Want It to Be? Jacqueline Harding Cameron Domenico Kirk-Giannini 66 0 0 05 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 54 0 0 01 May 2025
SimPRIVE: a Simulation framework for Physical Robot Interaction with Virtual Environments F. Nesti G. D’Amico Mauro Marinoni Giorgio Buttazzo 33 0 0 30 Apr 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Z. Wang Zhan Cheng X. Sharon Hu Mengyuan Li Y. Zhao OODD 50 0 0 29 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 131 0 0 25 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 80 2 0 11 Mar 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 125 5 0 17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 55 5 0 17 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 101 0 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 40 1 0 05 Feb 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles Younggun Kim Beomsik Cho Seonghoon Ryoo Soomok Lee 3DPC 94 0 0 27 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 124 0 0 20 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge J. Belongie Christian Igel 59 1 0 03 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Y. Liu Feng Zheng Lizhuang Ma UQCV 46 1 0 30 Dec 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 70 0 0 25 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 41 0 0 03 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 107 0 0 27 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 55 0 0 22 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 60 5 0 21 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 47 14 0 15 Oct 2024
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor Shizuka Akahori S. Iizuka Ken Mawatari Kazuhiro Fukui 3DPC 34 1 0 13 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 26 7 0 06 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 38 5 0 04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 111 0 0 03 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 64 3 0 18 Sep 2024
Robots that Suggest Safe Alternatives Hyun Joe Jeong Andrea V. Bajcsy Andrea Bajcsy OffRL 38 1 0 15 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 40 0 0 07 Sep 2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 37 0 0 20 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 35 0 0 31 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 33 0 0 23 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 47 4 0 07 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 29 1 0 05 Jul 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 Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 34 0 0 26 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 34 8 0 21 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations Evan Becker Stefano Soatto 39 6 0 05 Jun 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization Hoang Bao Yijiang Pang Siqi Liang Liang Zhan Paul Thompson Jiayu Zhou FedML 36 1 0 23 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 46 3 0 23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 38 1 0 21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 41 0 0 20 May 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey Jing Liu Yang Liu Jieyu Lin Jielin Li Peng Sun Bo Hu Liang Song Azzedine Boukerche Victor C.M. Leung Victor C.M. Leung 43 10 0 16 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 21 1 0 02 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 26 3 0 02 May 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 31 0 0 29 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 57 1 0 08 Mar 2024