no code implementations • 13 Feb 2024 • Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
We study the active few-shot fine-tuning of large neural networks to downstream tasks.
no code implementations • 13 Feb 2024 • Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
We generalize active learning to address real-world settings where sampling is restricted to an accessible region of the domain, while prediction targets may lie outside this region.
1 code implementation • 12 Jun 2023 • Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
This paper presents a data-driven strategy to streamline the deployment of model-based controllers in legged robotic hardware platforms.