In the last decade, the domain of Artificial Intelligence (AI) has undergone rapid
advancement and has achieved ability to mimic near-human intelligence in multiple aspects …

The artificial intelligence (AI) within the last decade has experienced a rapid development
and has attained power to simulate human‐thinking in various situations. When the deep …

Deep neural networks (DNNs) with their dense and complex algorithms provide real
possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI …

Meta Learning has been in focus in recent years due to the meta-learner model's ability to
adapt well and generalize to new tasks, thus, reducing both the time and data requirements …

The superior performance of deep learning is supported by massive data and powerful
computing engines. Meta-learning is an imitation of human learning ability. Instead of relying …

Meta-learning, an idea of" learning to learn," is a machine learning field that applies a
learning algorithm to train a model for performing various tasks. This paper extends the …

Compared to traditional machine learning, deep learning can learn deeper abstract data
representation and understand scattered data properties. It has gained considerable …

Deep neural networks can achieve great successes when presented with large data sets
and sufficient computational resources. However, their ability to learn new concepts quickly …

While meta learning approaches have achieved remarkable success, obtaining a stable and
unbiased meta-learner remains a significant challenge, since the initial model of a meta …

Meta-learning empowers learning systems with the ability to acquire knowledge from
multiple tasks, enabling faster adaptation and generalization to new tasks. This review …