There have been a number of recent lawsuits alleging violations of the Americans with Disabilities Act in the workplace, ranging from a construction company allegedly refusing to hire workers who take ...

Abstract: Training generative adversarial networks (GAN) using too little data typically leads to discriminator overfitting, causing training to diverge. We propose an adaptive discriminator ...

StyleGAN2-ADA — Official PyTorch implementation Training Generative Adversarial Networks with Limited Data Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila ...

Acclaimed as a mathematical genius, Ada Lovelace is said to have understood the potential of the first computer blueprints better than their inventor. A serendipitous friendship with the mathematician ...

Abstract: Deep learning (DL) applications in the medical field often face challenges related to limited data availability, resulting in issues like overfitting and imbalanced datasets. Synthetic data ...

Abstract: Massive captured face images are stored in the database for the identification of individuals. However, these images can be observed unintentionally by data examiners, which is not at the ...

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The American Diabetes Association recently released major diabetes care updates, which include new recommendations on diabetes technology, therapy, and preventative health. The ADA's annual Standards ...