OOD Detection

OOD: Out-of-Distribution

Ask about this topic

Momentum

10 papers in the last four weeks, up 11% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 145

All topics
CardsList

  1. CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction

    May 1, 2026Wenjie Zhao, Jia Li, Mingrui Liu +2Cancer Survival PredictionDistribution Shift

    University of Texas at Dallas · George Mason University · UT Southwestern Medical Center

  2. How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework

    Apr 30, 2026Hamidreza SaghirLLM InterpretabilityAttention Mechanisms

    Independent Researcher

  3. Task-Conditioned Uncertainty Costmaps for Legged Locomotion

    Apr 30, 2026Kartikeya Singh, Christo Aluckal, Romeo Orsolino +1Legged RoboticsTerrain-Aware Robot Locomotion

    DRONES Lab, University at Buffalo, NY, USA · Ocado Technology, UK

  4. Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection

    Apr 29, 2026Ahyoung Oh, Wonseok Shin, Songkuk KimSparse AutoencodersOOD Detection

    School of Integrated Technology, BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University

  5. The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches

    Apr 29, 2026Vishesh Kumar, Akshay AgarwalAdversarial Patch AttacksOOD Detection

    Trustworthy BiometraVision Lab, Indian Institute of Science Education and Research Bhopal, India

  6. DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection

    Apr 26, 2026Yanqi Wu, Xinhua Lu, Runhe Lai +4Prototype-Based ClassificationOOD Detection

    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China · Peng Cheng Laboratory, Shenzhen 518066, China · Key Laboratory of Machine Intelligence and Advanced Computing, MOE, Guangzhou 510275, China +2

  7. Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation

    Apr 26, 2026Simone Mosco, Daniel Fusaro, Alberto PrettoPoint Cloud Anomaly Detection3D Point Cloud Segmentation

    University of Padova, Italy

  8. Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation

    Apr 23, 2026Yingkai Yang, Chaoqi Chen, Hui HuangDomain AdaptationContinual Test-Time Adaptation

    College of Computer Science and Software Engineering, Shenzhen University

  9. Component-Based Out-of-Distribution Detection

    Apr 23, 2026Wenrui Liu, Hong Chang, Ruibing Hou +2Distribution Shift DetectionOOD Detection

    The State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China · The University of Chinese Academy of Sciences, Beijing 100049, China

  10. TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models

    Apr 17, 2026Jinlun Ye, Jiang Liao, Runhe Lai +4Prompt LearningTest-Time Adaptation

    Sun Yat-sen University · Peng Cheng Laboratory · Key Laboratory of Machine Intelligence and Advanced Computing, MOE +2

  11. Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection

    Mar 27, 2026Gianluca Guglielmo, Marc MasanaDistribution Shift DetectionOOD Detection

    Graz University of Technology

  12. T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World

    Mar 19, 2026Aditi Naiknaware, Salimeh SekehVLM RobustnessDomain Generalization

    San Diego State University

  13. ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models

    Feb 27, 2026Wei Luo, Yangfan Ou, Jin Deng +4VLM RobustnessTest-Time Adaptation

    South China Agricultural University · Pazhou Laboratory · South China University of Technology +1

  14. Native Extrapolation Awareness in Flow-Based Conditional Generation

    Feb 13, 2026Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste MouretFlow MatchingFlow-Based Generative Modeling

    Inria, Université de Lorraine, CNRS, Loria Nancy, France

  15. Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies

    Feb 2, 2026Olga Graf, Dhrupal Patel, Peter Groß +3Histopathology Image SegmentationMahalanobis Distance

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · Toxicologic Pathologist, Gujarat, India · Boehringer Ingelheim Pharma GmbH and Co., Biberach an der Riß, Germany +1

  16. Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning

    Feb 1, 2026Pietro Carlotti, Nevena Gligić, Arya FarahiEvidential Deep LearningOOD Detection

    Department of Statistics and Data Sciences University of Texas at Austin

  17. Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

    Dec 20, 2025David Graber, Victor Armegioiu, Rebecca Buller +1Diffusion-Based OOD DetectionOOD Detection

    Seminar for Applied Mathematics, Department of Mathematics and ETH AI Center, ETH Zurich, 8092 Zurich, Switzerland · Institute for Computational Life Sciences, Zurich University of Applied Sciences, 8820 Waedenswil, Switzerland · Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, 3012 Bern, Switzerland

  18. Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics

    Oct 7, 2025Momin Abbas, Ali Falahati, Hossein Goli +1OOD Detection

    IBM · University of Waterloo · CUHK +1

  19. Uncertainty-Aware Ankle Exoskeleton Control

    Aug 28, 2025Fatima Mumtaza Tourk, Bishoy Galoaa, Sanat Shajan +3Uncertainty QuantificationAnkle Exoskeleton Control

    Department of Mechanical Engineering, Northeastern University, Boston, MA 02115 USA

  20. Out-of-Distribution Detection using Counterfactual Distance

    Aug 13, 2025Maria Stoica, Francesco Leofante, Alessio LomuscioOOD Detection

    Imperial College London

  21. Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG

    Aug 4, 2025Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi +3RAG SecurityOOD Detection

    New York University · Microsoft · University of Pennsylvania +1

  22. Last Layer Hamiltonian Monte Carlo

    Jul 11, 2025Koen Vellenga, H. Joe Steinhauer, Göran Falkman +2Bayesian Neural NetworksMarkov Chain Monte Carlo

    University of Skövde & Volvo Car Corporation, Sweden · University of Skövde, Sweden · Volvo Car Corporation, Sweden

  23. Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation

    May 21, 2025Kun Fang, Qinghua Tao, Mingzhen He +6Principal Component AnalysisKernel Methods

    Department of Automation, Shanghai Jiao Tong University · Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University · School of Automation, Beijing Institute of Technology +2

  24. Beyond Perceptual Distance: Discrepancy Assessment on Deep Representation for Out-of-Distribution Detection with Diffusion Model

    Sep 16, 2024Kun Fang, Zuopeng Yang, Haibo Hu +3Diffusion-Based OOD DetectionOOD Detection

    Department of Automation, Shanghai Jiao Tong University · Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University · The Intsig Information Co., Ltd., Shanghai, China +1

  25. Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning

    Aug 2, 2023Hyunjun Choi, JaeHo Chung, Hawook JeongFine-TuningOOD Detection

    ASRI, ECE., Seoul National University, South Korea · RideFlux Inc., South Korea