Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Abstract: The current state-of-the-art text-to-image (T2I) models have found numerous applications, driven by their ability to produce photorealistic images. Concept learning, as one notable ...

I have trained a Pose Estimation model with multiple classes and I found that the model is overfitting when I train it with more than around 50 epochs like seen by the loss plot below: I have trained ...

ABSTRACT: The National Oceanic and Atmospheric Administration reports a 95% decline in the oldest Arctic ice over the last 33 years [1], while the National Aeronautics and Space Administration states ...

Abstract: Generative adversarial networks (GANs) have shown notable accomplishments in remote sensing (RS) domain. However, this article reveals that their performance on RS images falls short when ...

A critical aspect of AI research involves fine-tuning large language models (LLMs) to align their outputs with human preferences. This fine-tuning ensures that AI systems generate useful, relevant, ...