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Found 3 papers, 1 papers with code
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting
In this paper, we propose to leverage a hybrid framework Mambaformer that internally combines Mamba for long-range dependency, and Transformer for short range dependency, for long-short range forecasting.
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection
However, the work exploring limited labeled anomalies and a large amount of unlabeled nodes in graphs to detect anomalies is rather limited.
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Thus, it is essential to ensure fairness in machine learning models.
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