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Found 3 papers, 1 papers with code
Episodic Multi-Task Learning with Heterogeneous Neural Processes
This paper focuses on the data-insufficiency problem in multi-task learning within an episodic training setup.
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
This model can block fraud transactions in a large amount of money each day.
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract
Existing group anomaly detection approaches rely on the assumption that the groups are known, which can hardly be true in real world social media applications.
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