Out-Of-Distribution

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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.

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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.

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255 papers

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  1. Activation Quantization of Vision Encoders Needs Prefixing Registers

    Oct 6, 2025Seunghyeon Kim, Taesun Yeom, Jinho Kim +3Vision EncodersQuantization

  2. How Can Mamba Learn In Context with Outliers and Generalize Provably?

    Oct 1, 2025Hongkang Li, Songtao Lu, Xiaodong Cui +2Bidirectional MambaIn-Context Learning

  3. Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark

    Aug 8, 2025Ngoc N. Tran, Anwar Said, Waseem Abbas +2Malware DetectionOut-Of-Distribution Detection

  4. Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution

    Aug 8, 2025Zhanyi Sun, Shuran SongVisuomotor PolicyBehavior Cloning

  5. funOCLUST: Clustering Functional Data with Outliers

    Jul 31, 2025Katharine M. Clark, Paul D. McNicholasImage ClusteringOutliers

  6. Detecting and explaining clinical-omics inconsistencies to improve patient cohort stratification: an application to Parkinson's disease

    Jul 4, 2025José A. Pardo-Pérez, Tomás Bernal, Jaime Ñiguez +5ParkinsonMulti-Omic Framework

  7. Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation

    May 21, 2025Kun Fang, Qinghua Tao, Mingzhen He +6Out-Of-Distribution DetectionIn-Distribution

  8. Disassociating performance from compositional feature learning

    May 14, 2025George Dimitriadis, Spyridon SamothrakisOut-Of-DistributionFeature Learning

  9. BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

    May 3, 2025Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun +10Molecular Property PredictionOut-Of-Distribution

  10. Numerical stability analysis of large language models

    Mar 13, 2025Stanislav Budzinskiy, Wenyi Fang, Longbin Zeng +1Full-Precision PerformanceLarge Models

  11. Beyond Perceptual Distance: Discrepancy Assessment on Deep Representation for Out-of-Distribution Detection with Diffusion Model

    Sep 16, 2024Kun Fang, Zuopeng Yang, Haibo Hu +3Out-Of-Distribution DetectionDiscriminative Models

  12. New methods to compute the generalized chi-square distribution

    Apr 7, 2024Abhranil DasIn-DistributionDiscriminative

  13. A Distributionally Robust Optimisation Approach to Fair Credit Scoring

    Feb 2, 2024Pablo Casas, Huan Yu, Christophe MuesFairness-Aware LearningCredit Risk Prediction

  14. Clustering Three-Way Data with Outliers

    Oct 8, 2023Katharine M. Clark, Paul D. McNicholasOutliersImage Clustering

  15. Optimizing Three Critical Factors for Practical and Effective OOD Detection Fine-Tuning

    Aug 2, 2023Hyunjun Choi, JaeHo Chung, Hawook JeongOut-Of-Distribution DetectionOut-Of-Distribution