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Patrick Wilhelm, Inese Yilmaz, Odej Kao
Noise-Aware Client Selection for Carbon-Efficient Federated Learning via Gradient Norm Thresholding
Florian Bley, Jacob Kauffmann, Simon León Krug, Klaus-Robert Müller, Grégoire Montavon
Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures
Max Upravitelev, Nicolau Duran-Silva, Christian Woerle, Giuseppe Guarino, Salar Mohtaj, Jing Yang, Veronika Solopova, Vera Schmitt
Comparing LLMs and BERT-based Classifiers for Resource-Sensitive Claim Verification in Social Media
Max Upravitelev, Premtim Sahitaj, Arthur Hilbert, Veronika Solopova, Jing Yang, Nils Feldhus, Tatiana Anikina, Simon Ostermann, Vera Schmitt
Exploring Semantic Filtering Heuristics For Efficient Claim Verification
Seiji Shimizu, Ibrahim Baroud, Lisa Raithel, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
RECORDTWIN: Towards Creating Safe Synthetic Clinical Corpora
Ariane Ziehn, Jan Szlang, Steffen Zeuch, Volker Markl
Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing
Jonah Kömen, Edwin D. de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen et al.
Towards Robust Foundation Models for Digital Pathology
Tabael L. Turan, Amrei Dilling, Frederick Klauschen, Insaf Haoues, Rose K. C. Moritz, Thomas K. Eigentler, Kamran Ghoreschi, Ulrike Blume-Peytavi
Carcinoma en Cuirasse Revealing Urothelial Carcinoma Recurrence
Stefan Grafberger, Paul Groth, Sebastian Schelter
mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines”
Johann Frei, Nils Feldhus, Lisa Raithel, Roland Roller, Alexander Meyer, Frank Kramer