Cross-Dataset Generalization

Overview

Cross-dataset generalization studies whether a model trained on one dataset can work on data from different hospitals, populations, devices, languages, or environments. Researchers test this with external validation and leave-one-dataset-out benchmarks, and try to improve transfer through diverse multi-source training, domain adaptation, robust representations, data augmentation, and limited target-domain fine-tuning. Results often show a gap between strong in-dataset scores and performance on new sources, so evaluation increasingly considers calibration, class-specific errors, and decision thresholds as well as accuracy. A central tension is that methods that remove source-specific signals may also discard useful information, while differences in measurement, labels, and data quality can make apparent model failures—or gains—hard to interpret.

Latest papers

CardsList

142 papers19 papers in the last four weeks, up 27% on the four weeks before. 0.1% of all new papers.

  1. Normative Deviation Modeling for EEG-based Depression Detection

    Oct 27, 2026Wan Jiang, Jingqi Cheng, Hui Zhang +5Depression DetectionElectroencephalography

  2. How Robust Are CNNs and Vision Transformers for Alzheimer's MRI Classification Across Datasets?

    Oct 24, 2026Hafija Aktar, Molly Croes, Frank S. Menniti +1Alzheimer's Disease ClassificationCross-Dataset Generalization

  3. ReLEAP: Upcycling Vision Datasets through Cross-Task Unification and Semi-Supervised Annotation

    Oct 23, 2026Julia Simon, Daniel Steininger, Andreas TrondlCross-Dataset GeneralizationSemi-Supervised Learning

  4. DISC: Domain-Integrated Similarity Cost for Time-Series Dataset

    Oct 22, 2026Yen-Ku Liu, Hongjie Chen, Franck Dernoncourt +1Task Transferability EstimationCross-Dataset Generalization

  5. Evidence-Guided Selection of Retinal Vessel Segmentation Pipelines: A Cross-Dataset Benchmark of Performance, Structure, Failure Modes, and Reproducibility

    Oct 22, 2026Ruoyu Yan, Yuejia Liu, Shixin Xu +4Retinal Vessel SegmentationOphthalmic Image Analysis

  6. Label-Space Mismatch Distorts Cross-Cohort Evaluation in Breast Cancer Molecular Subtyping

    Oct 18, 2026Suxing Liu, Byungwon Min, Zhijian Zheng +1Cancer Subtype ClassificationCross-Dataset Generalization

  7. Three LiDARs, Twenty-Five Datasets: Cross-Source Generalization in Tree-Species Recognition

    Oct 15, 2026Jae Joong Lee, Bedrich BenesTree Species ClassificationCross-Dataset Generalization

  8. From Adults to Children: Benchmarking Foundation Models for Chest X-Ray Classification under Domain Shift

    Oct 15, 2026Sara Inácio, Hugo Proença, João C. NevesMedical Imaging Foundation ModelsChest X-Ray Classification

  9. Revisiting Accent Classification with DistilHuBERT: Speaker-Disjoint Evaluation and Cross-Corpus Generalization

    Oct 9, 2026Xu He, Homayoon BeigiCross-Dataset GeneralizationAudio Classification

  10. Dataset-Specific Encoding of Image Content Underlies Cross-Dataset Failure in Brain MRI Foundation Models

    Oct 9, 2026Minh Sao Khue Luu, Bair N. TuchinovMedical Imaging Foundation ModelsMedical Image Representation Learning

  11. Cross-dataset harmonization for robust endoscopic image analysis

    Oct 5, 2026Romil Imtiaz, Dimitris K. IakovidisMedical Image AnalysisCross-Dataset Generalization

  12. A Data-Centric Review of Plant Disease Datasets: Taxonomy, Critical Analysis, Environmental Variability, and Implications for Precision Agriculture

    Oct 5, 2026Aamir Hilal, Shabir Ahmad Sofi, Neeraj GoelClass-Imbalanced LearningPlant Disease Classification

  13. CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research

    Oct 5, 2026Victor Li, Yuzhang Xie, Ziwei Dong +6HealthcareTraining Data Curation

  14. Revisiting the Generalization of Neural Graph Edit Distance Models

    Oct 3, 2026Zhouyang Liu, Ning Liu, Yixin Chen +2Cross-Dataset GeneralizationGraph Matching

  15. Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification

    Oct 2, 2026Emanoel dos Santos, Kelvin Cunha, Rodrigo Mota +8Skin Lesion ClassificationDermatology

  16. Demistifying Data and Simulator Assumptions in Supervised Causal Discovery

    Sep 29, 2026Pingchuan Ma, Rui Ding, Bojun Huang +1Causal DiscoveryCausal Structure Learning

  17. Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation

    Sep 28, 2026Petros Tsialis, Steffen Limmer, Tobias Rodemann +1LLM EvaluationTabular ML

  18. FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs

    Sep 27, 2026David Restrepo, Chenwei Wu, Luis Filipe Nakayama +4Fairness in Medical Image ClassificationOphthalmic Image Analysis

  19. Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems

    Sep 27, 2026Zhengyang Wei, Shourya Bose, Helgi Hilmarsson +2Power SystemsMulti-Task Learning

  20. Bison: Cross-Dataset Learning for Unseen-Compound Perturbation Prediction

    Sep 26, 2026Yunfan Liu, Kasra Ghorbani, Yufei Huang +6Cross-Dataset GeneralizationMolecular Representation Learning

  21. Cross-Dataset Transfer and Unknown-Class Detection in Imbalanced SAR Ship Classification

    Sep 15, 2026Ch Muhammad Awais, Marco Reggiannini, Davide Moroni +1ClassificationCross-Dataset Generalization

  22. Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models

    Sep 14, 2026Timothy C Sweeney-Fanelli, Ajan Ahmed, Masudul ImtiazElectrocardiogram ClassificationEmotion Recognition

  23. Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions

    Sep 14, 2026Otávio Oliveira Napoli, Edson BorinHuman Activity RecognitionDomain Generalization

  24. A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion

    Sep 11, 2026Muhammad Ebad Atif, Muhammad Haider AliNetwork Intrusion DetectionLLMs for Cybersecurity