59 citations · 282 across the 64 of their papers we have counts for
4 papers · 1 filter
Continual Low-Rank Scaled Dot-product Attention
Ginés Carreto Picón, Illia Oleksiienko, Lukas Hedegaard +2
Transformers are widely used for their ability to capture data relations in sequence processing, with great success for a wide range of static tasks. However, the computational and…
Are LLM-based methods good enough for detecting unfair terms of service?
Mirgita Frasheri, Arian Bakhtiarnia, Lukas Esterle +1
Countless terms of service (ToS) are being signed everyday by users all over the world while interacting with all kinds of apps and websites. More often than not, these online cont…
Geometric Deep Learning for Computer-Aided Design: A Survey
Negar Heidari, Alexandros Iosifidis
Geometric Deep Learning techniques have become a transformative force in the field of Computer-Aided Design (CAD), and have the potential to revolutionize how designers and enginee…
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
Nan Li, Alexandros Iosifidis, Qi Zhang
This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and compu…