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Muting Tokens: Exploring Token Sparsification for Efficient Audio Transformers
Shreya Sajid, Fabrizio Julian Piva, Hiram Rayo Torres Rodriguez +3
Transformer-based models have shown strong performance across diverse tasks, but their reliance on self-attention mechanisms often leads to high computational costs. Token sparsifi…
Cross-Modal Forgetting and Transfer in Unified Multimodal Post-Training
Francesco Colasurdo, Ivan Slobozhan, Joaquin Vanschoren +1
Unified multimodal models answer questions about images and also generate images with one shared set of weights. This creates a post-training risk that single-purpose models do not…
How (and How Not) to Use Data Augmentation in VLA Post-Training
Bram Grooten, Joaquin Vanschoren
Vision-language-action (VLA) models currently demonstrate strong performance in a wide range of real-world robotics tasks. However, they often still lack the generalization ability…
On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
Fabian Denoodt, Sibylle Hess, Joaquin Vanschoren +1
Modern sequential monitoring problems often involve multiple metrics, where we monitor several data streams simultaneously and may act once the evidence is strong enough. Confidenc…