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Found 5 papers, 2 papers with code
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Due to patient privacy protection concerns, machine learning research in healthcare has been undeniably slower and limited than in other application domains.
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields
Previous research has demonstrated the advantages of integrating data from multiple sources over traditional unimodal data, leading to the emergence of numerous novel multimodal applications.
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
Nonlinear acceleration methods are powerful techniques to speed up fixed-point iterations.
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration
We also empirically show that GDA-AMsolves a variety of minimax problems and improves GAN training on several datasets
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
We also empirically show that GDA-AM solves a variety of minimax problems and improves GAN training on several datasets
