Meta-learning in natural and artificial intelligence
Unknown
This paper surveys meta-learning across natural and artificial intelligence, highlighting recent developments in neuroscience and machine learning.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Unknown
This paper surveys meta-learning across natural and artificial intelligence, highlighting recent developments in neuroscience and machine learning.
Unknown
A technical review of meta-learning methods, categorizing them into black-box, optimization-based, and other approaches, and discussing advances and challenges.
Unknown
A comprehensive survey of meta-learning in neural networks, covering definitions, methods, applications, and successes.
Danyang Zhang, Junhao Song, Ziqian Bi, et al.
A comprehensive review of Mixture-of-Experts (MoE) in large language models, covering architecture, routing, meta-learning, and applications.
Connor Shorten, Taghi M. Khoshgoftaar
A comprehensive survey of image data augmentation techniques for deep learning, covering geometric, color, kernel, mixing, erasing, adversarial, GAN, style transfer, and meta-learning methods.