Pretext Training Algorithms for Event Sequence Data

Pretext training followed by task-specific fine-tuning has been a successful approach in vision and language domains. This paper proposes a self-supervised pretext training framework tailored to event sequence data. We introduce a novel alignment verification task that is specialized to event sequen...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Wang, Yimu, Zhao, He, Deng, Ruizhi, Tung, Frederick, Mori, Greg
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Interpolation
Online-Zugang:	Volltext
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