Paper on Multi-Task Learning Accepted for the International Journal of Computer Vision

We are happy to announce that the paper „Investigating Uncertainty Weighting for Multi-Task Learning: Insights and Analytical Alternatives“ by Lukas Kirchdorfer, Tobias Sesterhenn, Christian Bartelt, Heiner Stuckenschmidt, Lukas Schott and Jan M. Köhlerhas been accepted for the International Journal of Computer Vision. The paper is an improved version of the work Lukas did for hos Master Thesis at Bosch Center for AI.