9 citations · 14 across the 6 of their papers we have counts for
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cs.LG2020
Explicit Domain Adaptation with Loosely Coupled Samples
Oliver Scheel, Loren Schwarz, Nassir Navab +1
Transfer learning is an important field of machine learning in general, and particularly in the context of fully autonomous driving, which needs to be solved simultaneously for man…
stat.ML2020★ 9 cited
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models
Alessandro Berlati, Oliver Scheel, Luigi Di Stefano +1
Ambiguity is inherently present in many machine learning tasks, but especially for sequential models seldom accounted for, as most only output a single prediction. In this work we…