2021
DOI: 10.48550/arxiv.2102.12580
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Contrastive Pre-training for Imbalanced Corporate Credit Ratings

Abstract: Corporate credit rating reflects the level of corporate credit and plays a crucial role in modern financial risk control. But real-world credit rating data usually shows long-tail distributions, which means heavy class imbalanced problem challenging the corporate credit rating system greatly.To tackle that, inspried by the recent advances of pre-train techniques in selfsupervised representation learning, we propose a novel framework named Contrastive Pre-training for Corporate Credit Rating (CP4CCR), which uti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 6 publications
(7 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?