Open-vocabulary models like CLIP achieve high accuracy across many image classification
tasks. However, there are still settings where their zero-shot performance is far from optimal …

Deep reinforcement learning (DRL) is poised to revolutionize the field of artificial intelligence
(AI) and represents a step toward building autonomous systems with a higher-level …

Smart agriculture systems based on Internet of Things are the most promising to increase
food production and reduce the consumption of resources like fresh water. In this study, we …

Driven by the recent technological advancements within the field of artificial intelligence
research, deep learning has emerged as a promising representation learning technique …

The field of data-driven chemistry is undergoing an evolution, driven by innovations in
machine learning models for predicting molecular properties and behavior. Recent strides in …

Continual learning is essential for all real-world applications, as frozen pre-trained models
cannot effectively deal with non-stationary data distributions. The purpose of this study is to …

The multi-layer structures of Deep Learning facilitate the processing of higher-level
abstractions from data, thus leading to improved generalization and widespread …

As a special case of machine learning, incremental learning can acquire useful knowledge
from incoming data continuously while it does not need to access the original data. It is …