Contrastive Learning of Preferences with a Contextual InfoNCE Loss

A common problem in contextual preference ranking is that a single preferred action is compared against several choices, thereby blowing up the complexity and skewing the preference distribution. In this work, we show how one can solve this problem via a suitable adaptation of the CLIP framework.Thi...

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Hauptverfasser:	Bertram, Timo, Fürnkranz, Johannes, Müller, Martin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence
Online-Zugang:	Volltext bestellen
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