Dataset Bias

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18 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance

    Oct 5, 2026Haojin Deng, Zhiping Lin, Yimin YangDebiased MLSpurious Correlation Robustness

    Vector Institute, Toronto, Canada

  2. Towards Identifying the Dataset Biases Causing Phantom Transfer

    Sep 13, 2026Jonas Jürß, Pietro LiòDataset BiasSocial Bias in Language Models

    University of Cambridge Cambridge, CB3 0FD, UK

  3. Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets

    Sep 9, 2026Judith Bernett, Anton Spannagl, Joel Ås +2Algorithmic BiasProtein-Protein Interaction Prediction

    Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg · TUM School of Life Sciences Technical University of Munich · Department of Experimental Oncology IEO European Institute of Oncology IRCCS

  4. MUPA2^{2}E: Multimodal Unified Perception with Asymmetric Attention for Emotion Assessment

    Aug 17, 2026Stefanos Gkikas, Eric Nichols, Christian Arzate Cruz +1Dataset BiasMultimodal Emotion Recognition

    Honda Research Institute Japan, Wako City, Japan

  5. Identifying Confusion Trends in Concept-based XAI for Multi-Label Classification

    Aug 16, 2026Haadia Amjad, Ronald TetzlaffDataset BiasConcept-Based Explanations

    Chair of Fundamentals of Electrical Engineering TUD Dresden University of Technology Dresden, Germany

  6. Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias

    Aug 12, 2026Sara Abdulaziz, Egor BondarevAnomaly LocalizationAlgorithmic Bias

    Eindhoven University of Technology, 5612 AE Eindhoven, Netherlands

  7. Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing

    Jul 21, 2026Mohammad Ali Dadrast, Hamid UsefiAlgorithmic BiasMedical Image Classification

    Data Science Program Memorial University of Newfoundland St. John’s, Canada · Department of Mathematics and Statistics Memorial University of Newfoundland St. John’s, Canada

  8. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation

    Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass-Imbalanced LearningTransformer

    University of California, Los Angeles

  9. Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection

    Jul 1, 2026Joren Michels, Lode Jorissen, Nick MichielsAlgorithmic BiasDeepfake Detection

    Digital Future Lab, Flanders Make, Hasselt University

  10. Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement

    Jun 23, 2026Xiangqian Zhao, Xinyang Jiang, Zhipeng Xu +5Disentangled Representation LearningDebiased ML

    Xidian University · Shaanxi, China · Microsoft Research Asia +1

  11. FairBED: Incorporating Fairness into Bayesian Experimental Design

    Jun 22, 2026Marcel Hedman, Emily Alger, Brieuc Lehmann +2Algorithmic FairnessBayesian Experimental Design

    Department of Statistics, University of Oxford · Department of Statistical Science, University College London

  12. Data Bias Mitigation under Coverage Constraints & The Price of Fairness

    Jun 18, 2026Bruno Scarone, Alfredo Viola, Renée J. MillerDebiased MLAlgorithmic Fairness

    Khoury College of Computer Sciences, Northeastern University, USA · Casa de Investigadores Científicos La Comarca, Uruguay · Cheriton School of Computer Science, University of Waterloo, Canada

  13. Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

    Jun 1, 2026Arda Fazla, Abolfazl HashemiDebiased MLTraining Data Selection

    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.

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

    May 27, 2026Thomas Vitry, Kieran Edgeworth, Stefan Wermter +1Debiased MLSpurious Correlation Robustness

    University of Hamburg, Hamburg, Germany · Ecole Normale Superieure de Rennes, Rennes, France

  15. Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference

    Apr 21, 2026Aby Mammen MathewDebiased MLNatural Language Inference

    The University of Texas at Austin

  16. A Survey of OCR Evaluation Methods and Metrics and the Invisibility of Historical Documents

    Mar 26, 2026Fitsum Sileshi Beyene, Christopher L. DancyDataset BiasOptical Character Recognition

    The Pennsylvania State University University Park, Pennsylvania, USA

  17. Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images

    Mar 12, 2026Michael Okonoda, Eder Martinez, Abhilekha Dalal +1Dataset BiasConvolutional Neural Networks

    Department of Computer Science, Kansas State University, Manhattan, KS 66506, USA

  18. No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models

    Mar 10, 2026Magali Legast, Toon Calders, François FoussAlgorithmic FairnessDataset Bias

    Université catholique de Louvain, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Louvain-la-Neuve, Belgium · Universiteit Antwerpen, Adrem Data Lab, Antwerpen, Belgium · Université catholique de Louvain, Louvain Research Institute in Management and Organizations, Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Mons, Belgium