61 citations · 69 across the 5 of their papers we have counts for
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cs.LG2023
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich, Lukas Kirchdorfer, Jan M. Köhler +1
While multi-task learning (MTL) has gained significant attention in recent years, its underlying mechanisms remain poorly understood. Recent methods did not yield consistent perfor…
cs.CV2023
Learning-based Relational Object Matching Across Views
Cathrin Elich, Iro Armeni, Martin R. Oswald +2
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reco…