Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning

Neural Information Processing Systems 

Subspace learning is a critical endeavor in contemporary machine learning, particularly given the vast dimensions of modern datasets.

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