Out-Of-Distribution

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Period ending 2026-09-21

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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. Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionSupport Vector Machines

  2. 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

  3. On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders

    May 29, 2026Elana Simon, Etowah Adams, James ZouFeature LearningOutliers

  4. 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

  5. Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness

    May 29, 2026Xiang Fang, Wanlong Fang, Wei JiLarge Vision Language ModelsOutliers

  6. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

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

  7. Test Time Training for Supervised Causal Learning

    May 28, 2026Zizhen Deng, Jiaru Zhang, Rui Ding +5Causal Foundation ModelsSupervised Learning

  8. Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language

    May 28, 2026Xiang Fang, Wanlong Fang, Daizong Liu +8Fine-Grained Video UnderstandingVideos

  9. 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

  10. Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions

    May 27, 2026Thomas Vitry, Kieran Edgeworth, Stefan Wermter +1Bias MitigationImplicit Bias

  11. SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling

    May 27, 2026Quanen Sun, Changxin Tian, Ke Shi +6Downstream Fine-TuningOut-Of-Distribution

  12. PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence

    May 27, 2026Haruki Yajima, Yusuke MatsuiDecision TreesHeterogeneous Pruning Scores

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

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

  14. The Role of Causal Features in Strategic Classification for Robustness and Alignment

    May 26, 2026Antonio Gois, Sophia Gunluk, Nir Rosenfeld +3Causal ReasoningCredit Risk Prediction

  15. Causal Representation Learning for Generalisable Recommendation

    May 26, 2026Yorgos Felekis, Michael O'Riordan, Oriol Corcoll +1Causal Representation LearningRecommendation

  16. 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

  17. Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing

    May 26, 2026Rongyi Sun, Wenguang Sun, Zinan ZhaoConformal InferenceOut-Of-Distribution

  18. Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection

    May 25, 2026Qideng Tang, Dai Chaofan, Wubin Ma +5Time-Series Anomaly DetectionAnomaly Detection

  19. When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift

    May 25, 2026Khoi Le, Tri Cao, Phong Nguyen +5Preference LearningWeak Supervision

  20. InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization

    May 25, 2026Ke Li, Dong An, Xiaoling Zang +6Large Language Model QuantizationQuantization

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

    May 23, 2026Dingling Yao, Andrea Polesello, Adeel Pervez +2Scientific DiscoveryPerceptual Understanding

  22. Generative OOD-regularized Model-based Policy Optimization

    May 23, 2026Aysin Tumay, Jiahe Huang, Elise Jortberg +1Offline Reinforcement LearningOut-Of-Distribution

  23. 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

  24. Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions

    May 22, 2026Yuefeng Liu, Ning Yang, Ziyu YangOutliersCorrupted Observations

  25. SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

    May 21, 2026Venkatakrishnan GopalakrishnanFraud DetectionReconstruction-Based Anomaly Detection

  26. EnCAgg: Enhanced Clustering Aggregation for Robust Federated Learning against Dynamic Model Poisoning

    May 21, 2026Tianyun Zhang, Zhen Yang, Haozhao Wang +2Federated LearningImage Clustering

  27. 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

  28. No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation

    May 21, 2026Bradley Stanley-Clamp, Anson Lei, Hannah M. Christensen +1EmulatorsGlobal Climate Models

  29. 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

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

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

  31. GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels

    May 20, 2026Ningkang Peng, Jingyang Mao, Xiaoqian Peng +4Noisy LabelsOut-Of-Distribution Detection

  32. Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference

    May 20, 2026Ziang Song, Ying Jin, Emmanuel J. CandèsFalse Discovery RateConformal Inference

  33. Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection

    May 19, 2026Neelkamal BhuyanOut-Of-Distribution DetectionOut-Of-Distribution

  34. Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding

    May 19, 2026Peter El Hachem, Ahmed Nassar, A. Said Gurbuz +2Visual Document RetrievalDiscrete Tokens

  35. Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography

    May 18, 2026Mohammad Moulaeifard, Ciaran Bench, Philip J. Aston +1Cuffless Blood Pressure EstimationCalibrated Uncertainty

  36. Attention Sinks and Outliers in Attention Residuals

    May 18, 2026Haozheng Luo, Haoran Dai, Shaoyang Zhang +10Batch NormalizationOutliers

  37. Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry

    May 18, 2026Ningkang Peng, Xuanming Chen, Yanhui GuOut-Of-Distribution DetectionOut-Of-Distribution

  38. When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection

    May 18, 2026Ningkang Peng, Jingyang Mao, Runhan Zhou +2Noisy LabelsOut-Of-Distribution

  39. Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety

    May 16, 2026Seok-Jin KimRegularization TechniquesEstimators

  40. Compositional Adversarial Training for Robust Visual Watermarking

    May 16, 2026Anirudh Satheesh, Michael-Andrei Panaitescu-Liess, Andrew Xu +4WatermarksWatermarking

  41. Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version

    May 15, 2026Hong-Phuc Phan, Tuan-Anh Vu, Tung Kieu +3UnsupervisedEnsemble

  42. Registers Matter for Pixel-Space Diffusion Transformers

    May 15, 2026Nikita Starodubcev, Ilia Sudakov, Ilya Drobyshevskiy +2Multimodal Diffusion TransformersSelf-Supervised Vision Transformers

  43. Diversified Residual Symbolic Regression

    May 15, 2026Koki Ikeda, Masahiro Nomura, Ryoki HamanoSymbolic RegressionKernel Ridge Regression

  44. Widening the Gap: Exploiting LLM Quantization via Outlier Injection

    May 14, 2026Xiaohua Zhan, Kazuki Egashira, Robin Staab +2Large Language Model QuantizationQuantization

  45. Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization

    May 14, 2026Peilin Sun, Jianxin WuWeight-Only QuantizationOutliers

  46. XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference

    May 14, 2026Thomas WittExtreme Low-Bit QuantizationLLM Inference Efficiency

  47. ToMAToMP: Robust and Multi-Parameter Topological Clustering

    May 14, 2026Ludo Andrianirina, Mathieu CarrièreImage ClusteringPersistent Homology

  48. TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability

    May 14, 2026Krish Sharma, Omar Naim, Soumadeep Saha +3Out-Of-DistributionChain-Of-Thought Distillation

  49. Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity

    May 14, 2026Abolfazl Zarghani, Amir MalekesfandiariNeuro-Symbolic FrameworkGnn-Based Detectors

  50. MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse

    May 14, 2026Donghwan Kim, Hyunsoo YoonOut-Of-Distribution DetectionIn-Distribution

  51. Rethinking Molecular OOD Generalization via Target-Aware Source Selection

    May 13, 2026Zhuohao Lin, Kun Li, Jiameng Chen +4Drug DiscoveryOut-Of-Distribution

  52. What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition

    May 13, 2026Danny Wang, Ruihong Qiu, Zi HuangOut-Of-Distribution DetectionGeneralist Graph Anomaly Detection

  53. Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model

    May 13, 2026Hongmin LiOut-Of-DistributionSpurious Correlations

  54. Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory

    May 12, 2026Hari K. Prakash, Charles H MartinOverfittingNeural Network

  55. A Controlled Counterexample to Strong Proxy-Based Explanations of OOD Performance: in a Fixed Pretraining-and-Probing Setup

    May 12, 2026Hongmin LiContent ProvenanceOut-Of-Distribution

  56. VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information Bottleneck

    May 12, 2026Aryan Gondkar, Hayder Radha, Yiming DengOut-Of-Distribution DetectionInformation Bottleneck

  57. DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift

    May 11, 2026Yongsen Tan, Zhecheng Sheng, Xiruo Ding +2Distribution ShiftsOut-Of-Distribution Detection

  58. TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection

    May 11, 2026Yifeng Yang, Jubo Feng, Jing Xu +3Out-Of-Distribution DetectionOpen-Vocabulary Object Detection

  59. Theory-optimal Quantization Based on Flatness

    May 11, 2026Xiusheng Huang, Zhe Li, Xuanwu Yin +5Large Language Model QuantizationQuantization

  60. A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection

    May 11, 2026Jihyeon Baek, Seunghoon Lee, Gitaek Kwon +1Out-Of-Distribution DetectionDeep Learning