Out-Of-Distribution

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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255 papers

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  1. Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation

    Jul 8, 2026Andrea Basteri, Carlo Ciliberto, Alessandro RudiImputationMultivariate Time Series Imputation

  2. Geometric Self-Distillation for Reasoning Generalization

    Jul 7, 2026Josip Jukić, Ivan TitovUnsupervised On-Policy Self-DistillationOn-Policy Distillation

  3. 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

  4. Out-of-distribution Neural Inference in Dynamical Ising Models

    Jul 3, 2026Yuan-Bin Zhu, Shuang Qiao, Shi-Ju RanTwo-Dimensional Ising ModelLearning Dynamics

  5. Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms

    Jul 2, 2026Ye Tian, Mengchu Li, Marco Avella MedinaEmpirical Risk MinimizationMulti--Task Learning

  6. 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

  7. 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

  8. Does Verbose Chain-of-Thought Really Help? In-Distribution Evidence that Content, Not Length, Matters

    Jun 29, 2026Wenlong Wang, Fergal ReidChain-of-Thought ReasoningLarge Language Model Reasoning

  9. Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping

    Jun 29, 2026Hsun-Yu Kuo, El Mahdi Chayti, Patrik Reizinger +2Early StoppingStochastic

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

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

  11. What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics

    Jun 29, 2026Kunwoong Kim, Dongha KimOutliersUnsupervised

  12. Flow Reasoning Models: Turning Flows Into Efficient Recurrent Reasoners

    Jun 28, 2026Alec Helbling, Andrey Bryutkin, Mauro Martino +3Large Reasoning ModelsLarge Behavior Model

  13. At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization

    Jun 24, 2026Praneet Suresh, Jack Stanley, Sonia Joseph +2Out-Of-DistributionDistribution Shifts

  14. 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

  15. 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

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

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

  17. Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text

    Jun 22, 2026Shreyash RawatOutliersEmergence

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

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

  19. 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

  20. Alternate loss functions and regression models that achieve robustness to outliers by modulating the learning rate

    Jun 20, 2026Mathew Mithra Noel, Arindam Banerjee, Yug D. Oswal +2OutliersLoss Function

  21. Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics

    Jun 20, 2026Chakshu BawejaIn-DistributionArea Under The Receiver Operating Characteristic Curve

  22. 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

  23. Inductive Generalization for Robotic Manipulation

    Jun 19, 2026Annabella Macaluso, Haochen Zhang, Ishaan Masilamony +2Visuomotor PolicyRobot Systems

  24. Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City

    Jun 18, 2026Adrian Cespedes, Marcelo Chincha, Dunant Cusipuma +3Autonomous DrivingAva-Vlm

  25. 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

  26. Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test

    Jun 17, 2026Maruthi VemulaResidual StreamModel Activations

  27. P2^2CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations

    Jun 16, 2026Arthur Hendricks Mendes de Oliveira, Giovani Valdrighi, Marcos Medeiros RaimundoCounterfactual ExplanationOutliers

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

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

  29. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation

    Jun 16, 2026Zehang Wei, Jiaxin Dai, Jiamin Yan +1Multi-Source Retrieval-Augmented GenerationLarge Language Model Hallucination

  30. 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

  31. Sum-of-Squares Degree Barriers for the Reweighted-Hinge Method in Robust Halfspace Learning: A Christoffel-Function Characterization

    Jun 15, 2026Xiaoyu LiFinite-Sample CertificatesBias Learning

  32. Contrastive-Difference CKA Reveals Concept-Specific Structural Alignment Across Language Model Architectures

    Jun 15, 2026Xueping GaoCross-Architecture GeneralizationLarge Language Model Alignment

  33. Scalable and Interpretable Representation Alignment with Ordinal Similarity

    Jun 15, 2026Diogo Soares, Pankhil Gawade, Andrea Dittadi +1Semantic Similarity MetricsRepresentation Learning

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

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

  35. 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

  36. MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization

    Jun 14, 2026Yangjia Hu, Haodong Wang, Zicong Hong +8Large Language Model QuantizationLow-Bit

  37. Signed Symmetric Quantization for Few-Bit Integers

    Jun 12, 2026Ian Colbert, Eashan Dash, Pablo Monteagudo-Lago +5Low-BitAsymmetric

  38. RANSAC Scoring Done Right

    Jun 12, 2026James Pritts, Felix Seegräber, Kevin KöserMultilevel Image ThresholdingFeature Matching

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

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

  40. Computationally tractable robust differentially private mean estimation

    Jun 10, 2026Kelly RamsayDifferential PrivacyEstimators

  41. Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter

    Jun 10, 2026Riya Bisht, Dhruv AgarwalOut-Of-DistributionGraph Neural Networks

  42. Harness In-Context Operator Learning with Chain of Operators

    Jun 10, 2026Minghui Yang, Ling Guo, Liu YangLogical ConnectivesIn-Context Learning

  43. REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelJoint Channel EstimationChannel

  44. TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data

    Jun 10, 2026Dayananda Herurkar, Federico Raue, Joachim Folz +2Reconstruction-Based Anomaly DetectionAnomaly Detection

  45. Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics

    Jun 10, 2026Sam Gijsen, Michał Łukomski, Marc-André Schulz +1Generative ModelsHuman Brain Networks

  46. 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

  47. Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation

    Jun 8, 2026Rafael Cabral, Pang Zixi, Ziyi Shou +1Representational GeometryOutliers

  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 NetworksMolecular Generation

  49. OffQ: Taming Structured Outliers in LLM Quantization by Offsetting

    Jun 5, 2026Haoqi Wang, Lorenz K. Mueller, Jiawei Zhuang +2Large Language Model QuantizationLow-Bit

  50. 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

  51. Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

    Jun 4, 2026Jialiang Yin, Zheng Zhao, Linsey Pang +3Graph Neural NetworksExplainability

  52. Auditing Demonstration Curation Metrics: Action-Only Scorers Fail on the Structural Defects That Degrade Imitation Policies

    Jun 4, 2026Aarav BediImitation LearningBehavior Cloning

  53. Dual Feature Decoupling for Fine-Grained OOD Detection

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

  54. SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning

    Jun 3, 2026Zhihua Wang, Yanping Li, Yizhang LiuFeature MatchingFeature Pyramid Networks

  55. ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

    Jun 2, 2026Sotirios Vavaroutas, Yu Yvonne Wu, Ali Etemad +1Out-Of-DistributionDistribution Shifts

  56. CAD-to-CT Registration of Cylindrical Objects via Ellipse-Based Axis Estimation

    Jun 1, 2026Aleksander Ogonowski, Mikołaj Mrozowski, Daniel Więcek +9Image RegistrationTomography

  57. 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

  58. Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

    Jun 1, 2026Bruce Changlong Xu, Adarsh Kumarappan, Mu ZhouKey-Value Cache QuantizationExtreme Low-Bit Quantization

  59. From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication

    May 31, 2026Máté Metzger, Nadnapang Phophichit, Hansa DhammahasoTranslation QualityAdjudication

  60. 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