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Found 4 papers, 2 papers with code
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Devising procedures for auditing generative model privacy-utility tradeoff is an important yet unresolved problem in practice.
LU decomposition and Toeplitz decomposition of a neural network
It is well-known that any matrix $A$ has an LU decomposition.
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
In this paper, we develop a novel regularization method for deep neural networks by penalizing the trace of Hessian.
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
In the expansion of biomedical dataset, the same category may be labeled with different terms, thus being tedious and onerous to curate these terms.
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