The Power of Ensembles for Active Learning in Image Classification. - William H. Beluch; Tim Genewein; Andreas Nürnberger; Jan M. Köhler (CVPR, 2018)

Uncertainty Based Detection and Relabeling of Noisy Image Labels. - Jan M. Köhler; Maximilian Autenrieth; William H. Beluch (CVPR Workshops, 2019)

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration. - Kanil Patel; William Beluch; Dan Zhang 003; Michael Pfeiffer 001; Bin Yang 009 (ICPR, 2020)

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. - Elias Eulig; Piyapat Saranrittichai; Chaithanya Kumar Mummadi; Kilian Rambach; William Beluch; Xiahan Shi; Volker Fischer 003 (ICCV, 2021)

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning. - Kanil Patel; William H. Beluch; Bin Yang 009; Michael Pfeiffer 001; Dan Zhang 003 (ICLR, 2021)

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra. - Kanil Patel; William Beluch; Kilian Rambach; Adriana-Eliza Cozma; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. - Kanil Patel; William Beluch; Kilian Rambach; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing. - Sophie Henning; William Beluch; Alexander Fraser 001; Annemarie Friedrich (EACL, 2023)

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation. - Dan Zhang 003; Kaspar Sakmann; William Beluch; Robin Hutmacher; Yumeng Li (ICCV (Workshops), 2023)

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. - Yumeng Li; William H. Beluch; Margret Keuper; Dan Zhang 003; Anna Khoreva (ICLR, 2025)