Out-Of-Distribution

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Period ending 2026-09-21

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  1. Backbone-Equated Diffusion OOD via Sparse Internal Snapshots

    May 10, 2026Yadang Alexis Rouzoumka, Jean Pinsolle, Eugénie Terreaux +3Out-Of-Distribution DetectionDetection Framework

  2. AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play

    May 9, 2026Vlad Murgoci, Matthijs Spaan, Yaniv OrenImperfect-Information GamesNash Equilibrium

  3. Outlier detection for patient monitoring and alerting

    May 9, 2026Miloš Hauskrecht, Iyad Batal, Michal Valko +3Electronic Health RecordsEarly Warning

  4. TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection

    May 9, 2026Farid Hazratian, Ali Zia, Hien Duy NguyenOut-Of-DistributionGeoquery

  5. Beyond Toy Benchmarks: A Systematic Evaluation of OOD Detection Methods For Plant Pathology Classification

    May 9, 2026Devesh ShahOut-Of-Distribution DetectionIn-Distribution

  6. Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis

    May 8, 2026Boyang Dai, Chaoqi Chen, Yizhou YuOut-Of-Distribution DetectionOut-Of-Distribution

  7. Disagreement-Regularized Importance Sampling for Adversarial Label Corruption

    May 8, 2026Csongor Horváth, Ida-Maria Sintorn, Prashant SinghImportance SamplingImportance

  8. Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints

    May 8, 2026Tsuyoshi OkitaExtrapolationTarget Domain

  9. Offline Policy Optimization with Posterior Sampling

    May 8, 2026Hongqiang Lin, Dongxu Zhang, Yiding Sun +3Posterior SamplingOut-Of-Distribution

  10. HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning

    May 8, 2026Jiseok Youn, You Rim Choi, Goodsol Lee +3Heterogeneous Federated LearningFederated Learning

  11. Simple KNN-Based Outlier Detection Achieves Robust Clustering

    May 8, 2026Tianle Jiang, Yufa ZhouK-MeansImage Clustering

  12. Test-Time Compositional Generalization in Diffusion Models via Concept Discovery

    May 8, 2026Zekun Wang, Anant Gupta, Tianyi Zhu +1Out-Of-Distribution DetectionGeometry-Aware

  13. Decentralized Conformal Novelty Detection via Quantized Model Exchange

    May 7, 2026Kyle Loh, Yu XiangFalse Discovery RatePrivacy-Preserving Framework

  14. Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models

    May 7, 2026Xin Wang, Haibo Chen, Wenxuan Liu +1Wireless Foundation ModelsOut-Of-Distribution

  15. Rethinking Vacuity for OOD Detection in Evidential Deep Learning

    May 7, 2026Claire McNamaraOut-Of-Distribution DetectionDiscrepancy

  16. EGA: Adapting Frozen Encoders for Vector Search with Bounded Out-of-Distribution Degradation

    May 7, 2026Dongfang ZhaoFrozen EncoderOut-Of-Distribution

  17. Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning

    May 7, 2026Brett Barkley, Preston Culbertson, David Fridovich-KeilOut-Of-Distribution DetectionOut-Of-Distribution

  18. Taming Outlier Tokens in Diffusion Transformers

    May 6, 2026Xiaoyu Wu, Yifei Wang, Tsu-Jui Fu +3Multimodal Diffusion TransformersVision Transformer

  19. Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

    May 6, 2026Bernhard Kainz, Johanna P Mueller, Matthew Baugh +1Medical Vision-Language ModelsOut-Of-Distribution Detection

  20. Conditional outlier detection for clinical alerting

    May 6, 2026Milos Hauskrecht, Michal Valko, Shyam Visweswaran +3Electronic Health RecordsEarly Warning

  21. Replay-Based Continual Learning for Physics-Informed Neural Operators

    May 6, 2026Yizheng Wang, Mohammad Sadegh Eshaghi, Xiaoying Zhuang +2Neural OperatorsEfficient Continual Learning

  22. Test-Time Training for Visual Foresight Vision-Language-Action Models

    May 6, 2026Sangwu Park, Wonjoong Kim, Yeonjun In +3Pretrained Vision-Language-ActionStable Test-Time Adaptation

  23. OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization

    May 6, 2026Zhikai Li, Zhen Dong, Xuewen Liu +2Large Language Model QuantizationWeight-Only Quantization

  24. Angle-I2P: Angle-Consistent-Aware Hierarchical Attention for Cross-Modality Outlier Rejection

    May 6, 2026Muyao Peng, Shun Zou, Pei An +2Point Cloud RegistrationOutliers

  25. Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning

    May 6, 2026Qingjun Wang, Hongtu Zhou, Hang Yu +5Offline Reinforcement LearningOut-Of-Distribution Detection

  26. A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing

    May 5, 2026Maria Stoica, Abdelrahman Hekal, Alessio LomuscioOut-Of-Distribution DetectionOut-Of-Distribution

  27. Geometry over Density: Few-Shot Cross-Domain OOD Detection

    May 5, 2026Shawn Li, You Qin, Jiate Li +4Out-Of-Distribution DetectionUnlabeled Data

  28. RFPrompt: Prompt-Based Expert Adaptation of the Large Wireless Model for Modulation Classification

    May 5, 2026Md Raihan Uddin, Tolunay Seyfi, Fatemeh AfghahAutomatic Modulation ClassificationParameter-Efficient Adaptation

  29. Enhancing Agent Safety Judgment: Controlled Benchmark Rewriting and Analogical Reasoning for Deceptive Out-of-Distribution Scenarios

    May 5, 2026Zuoyu Zhang, Yancheng ZhuInference-Time DefenseMulti-Agent Evolution

  30. Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics

    May 4, 2026Bogdan OanceaAnomalyUnsupervised

  31. ANO: Robust Policy Optimization via Bounded, Redescending Gain Fields

    May 4, 2026Yiheng Zhang, Yiming Wang, Kaiyan Zhao +3Proximal Policy OptimizationMulti-Objective Policy Optimization

  32. VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

    May 3, 2026Jingheng Pan, Xintong Wang, Longyue Wang +3Multimodal BenchmarksOut-Of-Distribution Detection

  33. Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay

    May 2, 2026Jin Tong, Guang Liang, Peilin Sun +1Vision TransformerRegularization Techniques

  34. GEODE: Angle-Adaptive OOD Detection with Universal Scorer Compatibility

    May 1, 2026Bruno AbrahaoOut-Of-Distribution DetectionOut-Of-Distribution

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

    May 1, 2026Wenjie Zhao, Jia Li, Mingrui Liu +2Survival PredictionsOut-Of-Distribution Detection

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

    Apr 30, 2026Hamidreza SaghirOut-Of-Distribution DetectionOut-Of-Distribution

  37. SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination

    Apr 30, 2026Eichi UeharaContamination-Aware Benchmarking FrameworkOutliers

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

    Apr 29, 2026Ahyoung Oh, Wonseok Shin, Songkuk KimOut-Of-Distribution DetectionImproving Sparse Autoencoders

  39. Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

    Apr 29, 2026Qi Li, Yong Huang, Hui LiStructural Health MonitoringData Quality

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

    Apr 26, 2026Yanqi Wu, Xinhua Lu, Runhe Lai +4Out-Of-Distribution DetectionOpen-Vocabulary Object Detection

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

    Apr 26, 2026Simone Mosco, Daniel Fusaro, Alberto PrettoReal3D-Ad DatasetsAutonomous Driving Perception

  42. Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm

    Apr 24, 2026Junjun Huang, Xiliang Lu, Xuelin Xie +1Image ClusteringK-Means

  43. Revisiting Neural Activation Coverage for Uncertainty Estimation

    Apr 24, 2026Benedikt Franke, Nils Förster, Frank Köster +3Bayesian Neural NetworksOut-Of-Distribution Detection

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

    Apr 23, 2026Yingkai Yang, Chaoqi Chen, Hui HuangContinual Test-Time AdaptationDomain Adaptation

  45. Component-Based Out-of-Distribution Detection

    Apr 23, 2026Wenrui Liu, Hong Chang, Ruibing Hou +2Out-Of-Distribution DetectionIn-Distribution

  46. Robust Out-of-Distribution Stochastic Optimization

    Apr 22, 2026Xianyu Li, Huan Xu, Xiaolin Huang +1Out-Of-DistributionStochastic Optimization

  47. AeroBridge-TTA: Test-Time Adaptive Language-Conditioned Control for UAVs

    Apr 21, 2026Lingxue LyuAerotrackLanguage-Conditioning Space Policy

  48. Conformal Robust Set Estimation

    Apr 20, 2026Alejandro Cholaquidis, Emilien Joly, Leonardo MorenoConformal PredictionConformal Calibration

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

    Apr 17, 2026Jinlun Ye, Jiang Liao, Runhe Lai +4Out-Of-Distribution DetectionVision-Language Model Adaptation

  50. Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes

    Apr 16, 2026Victoria Yue Chen, Emery Pierson, Léopold Maillard +13D Generative ModelsGenerative Models

  51. Graph Theoretical Outlier Rejection for 4D Radar Registration in Feature-Poor Environments

    Apr 16, 2026Georg Dorndorf, Daniel Adolfsson, Masrur DoostdarSparse4D-RadarPoint Cloud Registration

  52. Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution

    Apr 11, 2026Robert DilworthStylometricAnonymization

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

    Mar 27, 2026Gianluca Guglielmo, Marc MasanaOut-Of-Distribution DetectionOut-Of-Distribution

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

    Mar 19, 2026Aditi Naiknaware, Salimeh SekehVision-Language Model AdaptationOut-Of-Distribution Detection

  55. TreeLoc++: Robust 6-DoF LiDAR Localization in Forests with a Compact Digital Forest Inventory

    Mar 4, 2026Minwoo Jung, Dongjae Lee, Nived Chebrolu +3Robust LocalizationForest Inventory

  56. Resolving Predictive Multiplicity for the Rashomon Set

    Jan 14, 2026Parian Haghighat, Hadis Anahideh, Cynthia RudinMultimodal ClassificationInterpretable Models

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

    Dec 20, 2025David Graber, Victor Armegioiu, Rebecca Buller +1Out-Of-Distribution DetectionMolecular Graphs

  58. Uncertainty Quantification for Regression: A Unified Framework based on kernel scores

    Oct 29, 2025Christopher Bülte, Yusuf Sale, Gitta Kutyniok +1Reliable Uncertainty QuantificationOut-Of-Distribution

  59. Root Cause Analysis of Outliers in Unknown Cyclic Graphs

    Oct 8, 2025Daniela Schkoda, Dominik JanzingCausal GraphRoot Cause Analysis

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

    Oct 7, 2025Momin Abbas, Ali Falahati, Hossein Goli +1Out-Of-Distribution DetectionOut-Of-Distribution