Out-Of-Distribution Detection

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Period ending 2026-09-21

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Period ending 2026-09-07

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99 papers

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

    Sep 16, 2026Loris Schneider, Edgar Welte, Rania RayyesGeneralizable Robotic ManipulationsManipulation

  2. 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 DetectionMachine Learning

  3. 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

  4. 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

  5. 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

  6. 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 DetectionIn-Distribution

  7. 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 +2Out-Of-Distribution DetectionConvolutional

  8. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaDensity Ratio EstimationTabular Learning

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

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

  10. 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 +3Out-Of-Distribution DetectionDetection Framework

  11. 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 +2Intrusion DetectionFederated Learning

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

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

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

    Aug 2, 2026Mohamed Farag, Genc Hoxha, Yahia Maleki +2EnsembleDense Prediction

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

    Aug 2, 2026Sabri Mustafa Kahya, Richard R. Chen, Muhammet Sami Yavuz +4Whole-Slide ImagesComputational Pathology

  15. 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

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

    Jul 31, 2026Mostafa ElAraby, Samer B. Nashed, Liam PaullOut-Of-Distribution DetectionEfficient Continual Learning

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

    Jul 30, 2026Luca de Martino, Federico Aromolo, Federico Nesti +1Robust Vehicle RecognitionOut-Of-Distribution Detection

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

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

  19. 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

  20. 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

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

    Jul 23, 2026Vishnu Bindu BalachandranOut-Of-Distribution DetectionOut-Of-Distribution

  22. 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

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

    Jul 19, 2026Shantanu ThoratMachine-Generated Text DetectionModernbert

  24. Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

    Jul 19, 2026Aoting Zhang, Dongbao Yang, Chang Liu +3Domain Incremental LearningDomain Adaptation

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

    Jul 16, 2026Jakub Paplhám, Willem Waegeman, Eyke Hüllermeier +1Epistemic UncertaintyBayesian

  26. Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection

    Jul 15, 2026Mingyue Zeng, De Cheng, Zhipeng Xu +3Out-Of-Distribution DetectionKnowledge Distillation

  27. 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

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

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

  29. 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 DetectionModernbert

  30. 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

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

    Jul 1, 2026Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1Out-Of-Distribution DetectionFace Forgery Detection

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

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

  33. 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

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

    Jun 23, 2026Lars Doorenbos, Duc Manh Vu, Serdar Ozsoy +1Out-Of-Distribution DetectionOut-Of-Distribution

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

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

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

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

  37. 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

  38. SCOPE: Sequential Conformal Probing for Reliable OOD Rejection in LLM Services

    Jun 19, 2026Zhuoyun Li, Boxuan Wang, Changshun Wu +2Out-Of-Distribution DetectionOut-Of-Distribution

  39. PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

    Jun 18, 2026Abhijit Das, Nichula Wasalathilaka, Yifan Lu +4Out-Of-Distribution DetectionMedical Vision-Language Models

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

    Jun 16, 2026Salimeh Sekeh, Xin ZhangOut-Of-Distribution DetectionTheoretical Foundations

  41. 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

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

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

  43. Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation

    Jun 14, 2026Jimut B. Pal, Suyash P. AwateOut-Of-Distribution DetectionOut-Of-Distribution

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

    Jun 10, 2026Sudeepta Mondal, Ganesh SundaramoorthiOut-Of-Distribution DetectionRadio Frequency

  45. Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems

    Jun 9, 2026Shaifalee Saxena, Alexander ScheinkerIterative Reinforcement LearningOut-Of-Distribution Detection

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

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

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

    Jun 5, 2026Taisei Saito, Koretaka Ogata, Takafumi HiroiOut-Of-Distribution DetectionFew-Shot Learning

  48. Dual Feature Decoupling for Fine-Grained OOD Detection

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

  49. 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

  50. 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

  51. 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

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

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

  53. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Active LearningBayesian Neural Networks

  54. 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 DetectionDense Semantic Segmentation

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

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

  56. 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 DetectionLarge Vision Language Models

  57. 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 DetectionPositive--Unlabeled Learning

  58. The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces

    May 21, 2026Philipp Bomatter, Jack Geary, Henry GoukOut-Of-Distribution DetectionOut-Of-Distribution

  59. Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs

    May 20, 2026Dylan Feng, Pragya Srivastava, Anca Dragan +1Large Language Model SafetyOut-Of-Distribution Detection

  60. Early High-Frequency Injection for Geometry-Sensitive OOD Detection

    May 20, 2026Chuanjie Cheng, Ningkang Peng, Chenxi Liu +3High-Frequency TexturesOut-Of-Distribution Detection