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Haralampos Gavriilidis, Kaustubh Beedkar, Matthias Boehm, Volker Markl
Share on Fast and Scalable Data Transfer Across Data Systems
Sidney Bender, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
Towards Desiderata-Driven Design of Visual Counterfactual Explainers
Philipp Wiesner, Dennis Grinwald, Philipp Weiß, Patrick Wilhelm, Ramin Khalili, Odej Kao
Carbon-AwareQualityAdaptationforEnergy-IntensiveServices
Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Attribution-guided Pruning for Compression, Circuit Discovery, and Targeted Correction in LLMs
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein et al.
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Lars Möllenbrok, Behnood Rasti, Begüm Demir
Continual Self-Supervised Learning With Masked Autoencoders in Remote Sensing
Emílio Dolgener Cantú, Rolf Klemens Wittmann, Oliver Abdeen, Patrick Wagner, Wojciech Samek, Moritz Baier, Sebastian Lapuschkin
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection
Olga Ovcharenko, Florian Barkmann, Philip Toma, Imant Daunhawer, Julia E. Vogt, Sebastian Schelter, Valentina Boeva
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
Ekaterina Borisova, Fabio Barth, Nils Feldhus, Raia Abu Ahmad, Malte Ostendorff, Pedro Ortiz Suarez, Georg Rehm, Sebastian Möller
Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler