Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

1 code implementation • 26 Oct 2023 • Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier Hénaff, Zeynep Akata

Training deep networks requires various design decisions regarding for instance their architecture, data augmentation, or optimization.

Data Augmentation General Knowledge +2

Learning to Defer with Limited Expert Predictions

1 code implementation • 14 Apr 2023 • Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl

In this paper, we propose a three-step approach to reduce the number of expert predictions required to train learning to defer algorithms.