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Found 3 papers, 1 papers with code
Adapting Self-Supervised Representations to Multi-Domain Setups
Current state-of-the-art self-supervised approaches, are effective when trained on individual domains but show limited generalization on unseen domains.
Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions
However, the application of sensitive entity detection for production systems in financial institutions has not been well explored due to the lack of publicly available, labeled datasets.
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years.
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