Out-Of-Distribution

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Out-Of-Distribution.

Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Out-Of-Distribution.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Out-Of-Distribution.

Inside this field

Focused directions

255 papers

Latest in Out-Of-Distribution

Browse all topics →
CardsList

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

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

  2. Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

    Sep 15, 2026Aniketh Vijesh, Shrisharanyan Vasu, Abhijit Ramesh +5Whole-Heart SegmentationCongenital Heart Disease

  3. PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

    Sep 14, 2026Yusuf Khalid Shire, Sang-Chul KimIndirect Prompt InjectionIn-Distribution

  4. Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

    Sep 14, 2026Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui +2Score-Based Diffusion ModelLikelihood

  5. 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

  6. 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

  7. 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

  8. ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front

    Sep 7, 2026Stephanie Holly, Sepp Hochreiter, Werner ZellingerMulti-Objective OptimizationOptimal Transport

  9. 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

  10. Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

    Sep 3, 2026Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14Multi-Agent Reinforcement LearningOffline Reinforcement Learning

  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 DetectionIn-Distribution

  12. SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models

    Sep 1, 2026Shiyu Li, Zi-Yuan Hu, Shijia Huang +3Visual Token PruningVisual Tokens

  13. CoBRA: Learning Tool-Use Boundaries via Counterfactual Margins

    Sep 1, 2026Wenhao Zou, Xianglong Liu, Wendong Bi +3Multi-Turn Tool-Use AgentCounterfactual Learning

  14. Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty

    Aug 30, 2026Mushir Akhtar, A. Varshney, A. Quadir +3Uncertainty-Aware InferenceLoss Function

  15. ICON Decomposition: Auditing deep neural networks for shortcuts by decomposing layer-wise representations using concepts

    Aug 26, 2026Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer +7ExplainabilityShortcuts

  16. Wasserstein Filtering: A Sample Selection Method for Robust Distribution Learning

    Aug 13, 2026Yikai Xu, Zhao Chen, Jian HuangOutliersWasserstein Distance

  17. Towards an approach to multivariate outlier detection for District Heating System data

    Aug 11, 2026Rajko Turudija, Dušan Stojiljković, Milan Zdravković +1Hvac ControlOutliers

  18. SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training

    Aug 11, 2026Zhuang WangOutliersLarge Language Model Pretraining

  19. 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

  20. In-Context Density Estimation for Tabular Data

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

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

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

  22. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Reconstruction-Based Anomaly DetectionFederated Learning

  23. Out-of-Distribution Federated Distillation with Domain-Aware Proxy

    Aug 9, 2026Jiahao Xiao, Jiangming LiuFederated LearningOut-Of-Distribution

  24. Spectral Outliers Reveal Dominant Learned Structure in Transformer Attention

    Aug 8, 2026Kasun Dewage, Marianna Pensky, Suranadi De Silva +1Transformer AttentionOutliers

  25. Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10

    Aug 5, 2026Dmytro KnopovImagenetOutliers

  26. 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

  27. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningReconstruction-Based Anomaly Detection

  28. 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

  29. Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

    Aug 4, 2026Yi Yang, Zhennan Chen, Mingfeng Lv +3Offline Reinforcement LearningOut-Of-Distribution

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

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

  31. ARM: Detector-Agnostic Changepoint Attribution with Finite-Sample Error Control

    Aug 3, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionFalse Discovery Rate

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

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

  33. 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

  34. 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

  35. Crushing the Evidence: A Dual-Penalty Evasion Framework for Fooling White-Box Explainable AI Auditors

    Aug 1, 2026Niraj Kumar, Harsh KasyapEvasionBlack Box

  36. 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

  37. Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning

    Jul 30, 2026Muhammad Umar Farooq, Kutub Uddin, Awais Khan +1Explainable Deepfake DetectionDeepfake Detection

  38. 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

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

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

  40. 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

  41. 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

  42. Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

    Jul 29, 2026Seunghun Yu, Meiyi Zhu, Petar Popovski +2Change-Point DetectionRoot Cause Analysis

  43. Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models

    Jul 28, 2026Malena Loza, David Chushig-Muzo, Eva Milara +3Tabular Foundation ModelsTabpfn

  44. Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification

    Jul 26, 2026H. Martin Gillis, Isaac Xu, Gabriel Spadon +1EnsembleCovariance Estimation

  45. Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTime-Series Anomaly DetectionHybrid Transformer

  46. 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

  47. GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries

    Jul 22, 2026Miguel P. Bento, João F. SeabraW4A4 QuantizationGauge

  48. 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

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

    Jul 19, 2026Shantanu ThoratMachine-Generated Text DetectionModernbert

  50. Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

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

  51. Cross-Coordinate Correspondence Pruning for Image-to-Point Cloud Registration

    Jul 19, 2026Xin Liu, Rong Qin, Huipeng Lin +5Point Cloud RegistrationPoint Cloud Data

  52. InLiER: Learning-Free Heterogeneous LiDAR Place Recognition via Intermediate Mixed-Radix Structural Keypoint Tokenization

    Jul 18, 2026Nikolaos Stathoulopoulos, George NikolakopoulosLidarLight Detection And Ranging

  53. AC-VLA: Robust Out-of-Distribution Action Execution via Compositional Learning

    Jul 17, 2026Xiaojiang Peng, Kai Peng, Jie Lu +3Spatial GroundingOut-Of-Distribution

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

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

  55. Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection

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

  56. Statistical Non-linear Reconstruction Loss for Image Anomaly Detection

    Jul 14, 2026Nguyen Minh Tri, Hoang Khuong Duy, Huynh Cong Viet NguReconstruction-Based Anomaly DetectionSelf-Supervised Reconstruction Method

  57. 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

  58. Falsifying Causal Graphs With Outlier Events

    Jul 13, 2026William Roy Orchard, Philipp M. Faller, Dominik JanzingCausal GraphOutliers

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

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

  60. Learning from Noise: Effective-Rank Collapse and Out-of-Distribution Rejection in Restricted Boltzmann Machines

    Jul 11, 2026Oshada Rathnayake, Nikhil ShuklaOut-Of-DistributionLow-Rank Factorization