Cloud cover assessment is crucial for meteorology, Earth observation, and environmental
monitoring, providing valuable data for weather forecasting, climate modeling, and remote …

Pretrained Language Models (PLMs) have become the de facto starting point for fine-tuning
on downstream tasks. However, as model sizes continue to increase, traditional fine-tuning …

Evaluating the adversarial robustness of deep networks to gradient-based attacks is
challenging. While most attacks consider $\ell_2 $-and $\ell_\infty $-norm constraints to craft …

Abstract Pretrained Language Models (PLMs) have become the de facto starting point for
fine-tuning on downstream tasks. However, as model sizes continue to increase, traditional …

Deep learning (dl) models are being widely deployed in real-world applications, but their
usage remains computationally intensive and energy-hungry. While prior work has …

The Information and Communication Technology (ICT) sector is a significant global industry,
and addressing climate change is of critical importance. This paper aims to assess the …