Out-Of-Distribution Detection

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9 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

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  1. ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection

    Oct 5, 2026Elijah Bolluyt, Cristina ComaniciuOut-Of-Distribution DetectionDomain Adaptation

    Stevens Institute of Technology, Hoboken, NJ, 07030, USA

  2. Dataset Identity, Not Novelty: The Source of an Inflated OOD Detection Gain

    Oct 1, 2026Donghoon Lee, Shinjin KangOut-Of-Distribution DetectionOut-Of-Distribution

    Hongik University

  3. OFBD: Object-Focused Background Debiasing for Long-Tailed Learning

    Sep 29, 2026Shenghan Chen, Yiming Liu, Zhipeng Deng +6Out-Of-Distribution DetectionDebiasing

    Westlake University, Hangzhou, China · Shandong University, Jinan, China · Hokkaido University, Sapporo, Japan +1

  4. Beyond Site Agreement: Re-estimation for Brain Network Generalization

    Sep 28, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang3 +4Functional ConnectivityHuman Brain Networks

    Mohamed bin Zayed University of Artificial Intelligence · Zhengzhou University · University Hospital Tübingen +3

  5. Position Aware Layer Queries for Test Time Training in Vision Language Models

    Sep 27, 2026Rajat Modi, Priyank Pathak, Xin Liang +1Frozen Contrastive Language-Image Pre-Training Visual EncoderTest-Time Training

    Institute of Artificial Intelligence University of Central Florida Orlando, FL 32816, USA

  6. RAFAIL: Relationship-Aware Failure Detection for Robotic Manipulation

    Sep 16, 2026Loris Schneider, Edgar Welte, Rania RayyesRobotic ManipulationOut-Of-Distribution Detection

    Institute for Material Handling and Logistics (IFL), Karlsruhe Institute of Technology, 76131, Germany.

  7. PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability

    Sep 14, 2026Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman +1Out-Of-Distribution DetectionOut-Of-Distribution

    University of Wisconsin Madison Madison, WI, USA · IMC University of Applied Sciences Krems, Austria · Indian Institute of Technology Roorkee Roorkee, India

  8. Layer Selection in VLMs for Zero-Shot OOD Detection via Multi-Resolution Entropy Estimation

    Sep 8, 2026Shyam Nandan Rai, Francesco Di Salvo, Sebastian Doerrich +1Out-Of-Distribution DetectionOut-Of-Distribution

    xAILab Bamberg, University of Bamberg, Bamberg, Germany

  9. SAM3-O2D2: Zero-Shot Object Out-of-Distribution Detection by Object Class Prompting of the SAM3-Image Model

    Sep 8, 2026Lucas Görnhardt, Timo Bartels, Tim FingscheidtOut-Of-Distribution DetectionOut-Of-Distribution

    Technische Universität Braunschweig, Institute for Communications Technology

  10. CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment

    Sep 7, 2026Jinlun Ye, Kaiyue Lu, Runhe Lai +3Out-Of-Distribution DetectionOut-Of-Distribution

    School of Computer Science and Engineering, Sun Yat-sen Univerisity, Guangzhou,China · Peng Cheng Laboratory, Shenzhen, China · Key Laboratory of Machine Intelligence and Advanced Computing, MOE, Guangzhou, China +1

  11. Fi-ImageNet-1k: An OOD Benchmark From the Inside of the ImageNet-1k Validation Set

    Sep 1, 2026Ruslan Rozumnyi, Matěj Suchánek, Tomáš Vojíř +2Out-Of-Distribution DetectionImagenet

    Visual Recognition Group · Department of Cybernetics · Faculty of Electrical Engineering +1

  12. A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods

    Aug 10, 2026Leandro de Souza Rosa, Lorenzo Capelli, Clara Nunes Barrancos +2Final Convolutional LayersOut-Of-Distribution Detection

    Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi” (DEI) - Alma Mater Studiorum Università di Bologna, Bologna, Italy · Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES) - Alma Mater Studiorum Università di Bologna, Bologna, Italy

  13. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaDensity Ratio EstimationOut-Of-Distribution Detection

    Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland

  14. A Probabilistic Circuit-Induced Pseudo-Metric for Out-of-Distribution Detection

    Aug 10, 2026Bhumika K, Vidhya S, Narayanan C KrishnanOut-Of-Distribution DetectionIn-Distribution

    Mehta Family School of Data Science and Artificial Intelligence Indian Institute of Technology Palakkad Palakkad, Kerala, India

  15. MGSB: Manifold Gated Signature Branch Pressure-Domain Baseline Architecture for Two-Phase Pipeline Flows Under Distributional Shift

    Aug 5, 2026Issah Suleiman, Sormeh Serpoosh, Nadine Elkholy +3Mobile Gas Sensor Trajectories Govern Hydrogen Leak DetectionOut-Of-Distribution Detection

  16. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Federated LearningIntrusion Detection

    UTS-HCMUT JTIRC, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City 700000, Vietnam. · Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, Vietnam. · School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.

  17. SABRE: A Multi-Agent Approach for Selecting Out-of-Distribution Detectors Under a Budget

    Aug 3, 2026Mary Wisell, Salimeh SekehOut-Of-Distribution DetectionPost-Hoc

    San Diego State University

  18. ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation

    Aug 2, 2026Mohamed Farag, Genc Hoxha, Yahia Maleki +2EnsembleHip-Lora

    Machine Learning in Agriculture Lab, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany · Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia · Lamarr Institute for Machine Learning and Artificial Intelligence, University of Bonn, Bonn, Germany

  19. Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images

    Aug 2, 2026Sabri Mustafa Kahya, Richard R. Chen, Muhammet Sami Yavuz +4Computational PathologyWhole-Slide Images

  20. Breaking Diversity Collapse in Spiking Pseudo-Ensembles for Efficient OOD Detection in Remote Sensing

    Aug 2, 2026Srinivas Anumasa, Rushi Shah, Qiran Zou +1Spiking Neural NetworksOut-Of-Distribution Detection

    National University of Singapore

  21. TOOD: Task-Aware Out-of-Distribution Score Calibration for Continual Learners

    Jul 31, 2026Mostafa ElAraby, Samer B. Nashed, Liam PaullOut-Of-Distribution DetectionOut-Of-Distribution

    DIRO, Mila - Quebec AI Institute · Universit´e de Montr´eal · Montreal, Canada +1

  22. Towards Real-Time PixOOD: Efficient Anomaly Segmentation for Autonomous Vehicles

    Jul 30, 2026Luca de Martino, Federico Aromolo, Federico Nesti +1Automotive DetectionOut-Of-Distribution Detection

    Department of Excellence in Robotics & AI, Scuola Superiore Sant’Anna, Pisa, Italy

  23. Uncertainty quantification for trustworthy deep learning: Methods and measures

    Jul 30, 2026H. Martin Gillis, Thomas TrappenbergUncertainty QuantificationBayesian Neural Networks

    Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada

  24. Level, Sharpness, and Corpus: Why Zero-Shot OOD Detector Rankings Do Not Transfer

    Jul 29, 2026Ignacio M. De la Jara, Cristian Rodriguez-Opazo, Stephen Gould +1Out-Of-Distribution DetectionIn-Distribution

    University of Adelaide · 3Naval Group Pacific · 2Australian National University

  25. Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification

    Jul 29, 2026Ignacio M. De la Jara, Cristian Rodriguez-Opazo, Hamed Damirchi +2Out-Of-Distribution DetectionVision Foundation Models

    University of Adelaide · Naval Group Pacific · Australian National University

  26. Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration

    Jul 23, 2026Vishnu Bindu BalachandranOut-Of-Distribution DetectionLabel-Free

    Independent Researcher

  27. A New Kind of Adversarial Example: Measuring the Human-Model Gap, and Its Relationship to OOD Detection

    Jul 22, 2026Ali BorjiAdversarial ExamplesOut-Of-Distribution Detection

    BrainChip Inc., Laguna Hills, CA, USA

  28. Team DACTYL at PAN 2026: Bayesian Data Mixing and Empirical X-risk Minimization for AI-text Detection

    Jul 19, 2026Shantanu ThoratMachine-Generated Text DetectionOut-Of-Distribution Detection

    College Station, Texas, US

  29. Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

    Jul 19, 2026Aoting Zhang, Dongbao Yang, Chang Liu +3Out-Of-Distribution DetectionObjects

    Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · Nankai University +2

  30. Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning

    Jul 16, 2026Jakub Paplhám, Willem Waegeman, Eyke Hüllermeier +1Dynamic Epistemic LogicOut-Of-Distribution Detection

    Czech Technical University in Prague · Ghent University · LMU Munich, MCML, DFKI

  31. OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning

    Jul 14, 2026Emil Mittag, Richard Dazeley, Peter VamplewOut-Of-Distribution DetectionOut-Of-Distribution

    Deakin University, Geelong, Victoria, 3220, Australia · Federation University Australia, Ballarat, Victoria, 3350, Australia

  32. Sparse Autoencoders for Interpretable Out-of-Distribution Detection

    Jul 13, 2026Ayush Karmacharya, Luke Luschwitz, Lucia Romero +2Out-Of-Distribution DetectionOut-Of-Distribution

    Purdue University · EPFL

  33. A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

    Jul 8, 2026Yihong Xu, Mingyu Kang, Linyuan LüOut-Of-Distribution DetectionLarge Language Model Classification

    University of Science and Technology of China, Hefei, China

  34. Rethinking AI-Generated Text Detection: A Strong Baseline and the Distribution-Shift Problem That Remains

    Jul 4, 2026Zhuoer Shen, Mingyi Wang, Shaofeng Zou +1Machine-Generated Text DetectionBert-Based Models

    Department of Computer Science, University of California, Santa Barbara · School of ECEE, Arizona State University

  35. MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection

    Jul 2, 2026A. S. Anudeep, Vaanathi SundaresanOut-Of-Distribution DetectionOut-Of-Distribution

    Department of Computational and Data Sciences, Indian Institute of Science

  36. Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication

    Jul 1, 2026Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1Out-Of-Distribution DetectionAuthentication

    imagine, LIRIS · Universit´e Lumi`ere Lyon 2, CNRS, INSA Lyon, Universite Claude Bernard Lyon 1 LIRIS, UMR 5205 Lyon, France

  37. Exploiting Local Flatness for Efficient Out-of-Distribution Detection

    Jun 29, 2026Seonghwan Park, Hyunji Jung, Dongyeop Lee +1Out-Of-Distribution DetectionOut-Of-Distribution

    Korea Electronics Technology Institute (KETI) · Pohang University of Science and Technology (POSTECH)

  38. Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs

    Jun 24, 2026Wenjie Zhu, Yabin Zhang, Liang Xu +3Out-Of-Distribution DetectionVision-Language Model Adaptation

    The Hong Kong Polytechnic University · Harbin Institute of Technology (Shenzhen) · Shanghai Jiao Tong University +1

  39. Modality-Aware Out-of-Distribution Detection for Multi-Modal Action Recognition

    Jun 23, 2026Lars Doorenbos, Duc Manh Vu, Serdar Ozsoy +1Out-Of-Distribution DetectionOpen-Vocabulary Action Recognition

    University of Bonn, Germany · Lamarr Institute for Machine Learning and Artificial Intelligence, Germany

  40. Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring

    Jun 23, 2026Dominik Lindner, Johann Schmidt, Tom Siegl +2Out-Of-Distribution DetectionOut-Of-Distribution

    Artificial Intelligence Lab, Otto-von-Guericke University Magdeburg, Germany · University of Rostock, Germany · Becker Lab, University of Marburg, Germany

  41. MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring

    Jun 21, 2026Francesco Di Salvo, Sebastian Doerrich, Christian LedigOut-Of-Distribution DetectionOut-Of-Distribution

    XAI Lab Bamberg, University of Bamberg, Germany

  42. NegAS: Negative Label Guided Attention and Scoring for Out-of-Distribution Object Detection with Vision-Language Models

    Jun 21, 2026Yingjie Zhang, Shuai Li, Peng WangOut-Of-Distribution DetectionOpen-Vocabulary Object Detection

    Northwestern Polytechnical University, Xi’An, China

  43. Theoretical Grounding of Out-Of-Distribution Detection With Reinforcement Learning Optimizer

    Jun 16, 2026Salimeh Sekeh, Xin ZhangOut-Of-Distribution DetectionOff-Policy Learning

    San Diego State University

  44. MM++: Post-Hoc Scale-Invariant Multilayer OOD Detection via Top-K Gated Feature Fusion

    Jun 15, 2026Rahim Hossain, Md Tawheedul Islam Bhuian, Md Farhan Shadiq +1Out-Of-Distribution DetectionOut-Of-Distribution

    School of Computing State University of New York at Binghamton

  45. When Confidence Lacks Concepts: Interpretable OOD Detection via Representation Perturbations

    Jun 15, 2026Anju Chhetri, Pratik Shrestha, Ramesh Rana +3Out-Of-Distribution DetectionOut-Of-Distribution

    NepAl Applied Mathematics and Informatics Institute for research, Nepal · Kathmandu University, Nepal · NHS Grampian, UK +3

  46. Out-of-Distribution (OOD) Detectors for Open-Set RF Fingerprinting

    Jun 10, 2026Sudeepta Mondal, Ganesh SundaramoorthiOut-Of-Distribution DetectionFingerprint

    RTX Technology Research Center (RTRC).

  47. Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT

    Jun 8, 2026Luis Cortés Ferre, Miguel A. Gutiérrez-Naranjo, Marcin BalcerzykCone-Beam Computed TomographyInterpolation

    Department of Computer Science and Artificial Intelligence, University of Seville, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain · Bioaraba Health Research Institute, New Technologies and Information Systems in Health Research Group, 01009 Vitoria-Gasteiz, Spain · IKERBASQUE, Basque Foundation of Science, Plaza Euskadi 5, 48009 Bilbao, Spain

  48. Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

    Jun 7, 2026Riccardo De Santi, Bruce Lee, Cristian Perez Jensen +6Generative Flow NetworksFlow Models

    ETH Zurich ETH AI Center · University of Pennsylvania · Caltech FutureHouse

  49. GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection

    Jun 5, 2026Taisei Saito, Koretaka Ogata, Takafumi HiroiFrozen Contrastive Language-Image Pre-Training Visual EncoderFew-Shot Learning

    Ricoh Company, Ltd. Ebina, Japan

  50. Dual Feature Decoupling for Fine-Grained OOD Detection

    Jun 4, 2026Xiaokun Li, Yaping Huang, Qingji GuanOut-Of-Distribution DetectionFine-Grained Perception

    School of Computer Science and Technology, Beijing Jiaotong University, No. 3 Shangyuan Village, Haidian District, Beijing, China

  51. A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation

    Jun 1, 2026Zefeng Li, Evan ShelhamerOut-Of-Distribution DetectionOut-Of-Distribution

    University of British Columbia and Vector Institute

  52. Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection

    May 30, 2026Xinwei Cao, Mengxuan Lu, Torbjørn Svendsen +1Out-Of-Distribution DetectionOut-Of-Distribution

    Department of Electronic Systems Norwegian University of Science and Technology Trondheim, Norway · School of Future Technology South China University of Technology Guangzhou, China

  53. KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems

    May 29, 2026Alireza Kheirandish, Jihoon Hong, Sara Fridovich-KeilOut-Of-Distribution DetectionDistribution Shifts

    Georgia Institute of Technology

  54. Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection

    May 29, 2026Willian T. Lunardi, Samridha Shrestha, Martin AndreoniOut-Of-Distribution DetectionTime-Series Classification

    Technology Innovation Institute, Abu Dhabi, United Arab Emirates · Khalifa University, Abu Dhabi, United Arab Emirates

  55. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Bayesian Neural NetworksReplay-Based Continual Learning

    Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies, Palaiseau, France · Forschungszentrum Jülich, Germany

  56. Energy-Aware NECO for Single-Pass Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

    May 28, 2026Boyuan Zhang, Huanshan Huang, Yifei CaoOut-Of-Distribution DetectionEfficient Semantic Segmentation

    Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France. · CIAD, UTBM, Universit´e Marie et Louis Pasteur, France. · U2IS, ENSTA, Institut Polytechnique de Paris, France.

  57. AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels

    May 27, 2026Fengqiang Wan, Qing-Yuan Jiang, Yang YangOut-Of-Distribution DetectionOutliers

    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

  58. Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models

    May 26, 2026Yuanwei Hu, Bo Peng, Yadan Luo +3Out-Of-Distribution DetectionLearnable Prototypes

    University of Technology Sydney · The University of Queensland

  59. The Perception-Physics Paradox: Probing Scientific Alignment with TC-Bench

    May 23, 2026Dingling Yao, Andrea Polesello, Adeel Pervez +2Scientific DiscoveryRepresentation Learning

    Institute of Science and Technology Austria

  60. Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models

    May 22, 2026Bo Peng, Jie Lu, Guangquan Zhang +1Out-Of-Distribution DetectionNegative Results

    University of Technology Sydney