Generalization Analysis for Contrastive Representation Learning

Recently, contrastive learning has found impressive success in advancing the state of the art in solving various machine learning tasks. However, the existing generalization analysis is very limited or even not meaningful. In particular, the existing generalization error bounds depend linearly on th...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Yunwen Lei, Yang, Tianbao, Ying, Yiming, Ding-Xuan, Zhou
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cognitive tasks Continuity (mathematics) Empirical analysis Low noise Machine learning Representations
Online-Zugang:	Volltext
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