2 citations · 2 across the 3 of their papers we have counts for
4 papers
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks, Philipp Spitzer, Niklas Kühl +1
Artificial Intelligence (AI) has increasingly influenced modern society, recently in particular through significant advancements in Large Language Models (LLMs). However, high comp…
Towards Human-Understandable Multi-Dimensional Concept Discovery
Arne Grobrügge, Niklas Kühl, Gerhard Satzger +1
Concept-based eXplainable AI (C-XAI) aims to overcome the limitations of traditional saliency maps by converting pixels into human-understandable concepts that are consistent acros…
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
Philipp Spitzer, Dominik Martin, Laurin Eichberger +1
Domain adaptation is a sub-field of machine learning that involves transferring knowledge from a source domain to perform the same task in the target domain. It is a typical challe…
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Patrick Zschech, Jannis Walk, Kai Heinrich +2
Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of cr…