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Found 3 papers, 2 papers with code
A Brief Review of Hypernetworks in Deep Learning
They offer a new way to design and train neural networks, and they have the potential to improve the performance of deep learning models on a variety of tasks.
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
To tackle this problem, we propose a deep learning framework based on `\textit{soft weight sharing}' to train ITE learners, enabling \textit{dynamic end-to-end} information sharing among treatment groups.
Motif-aware temporal GCN for fraud detection in signed cryptocurrency trust networks
Whereas in this study, we consider the evolving nature of cryptocurrency networks, and use local structural as well as the balance theory to guide the training process.
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