In the rapidly evolving domain of machine learning, the ability to adapt to unforeseen
circumstances and novel data types is of paramount importance. The deployment of Artificial …

Continual learning, also known as incremental learning or life-long learning, stands at the
forefront of deep learning and AI systems. It breaks through the obstacle of one-way training …

Class incremental learning aims to enable models to learn from sequential, non-stationary
data streams across different tasks without catastrophic forgetting. In class incremental …

Biological organisms in nature are required to continuously learn from and adapt to the
environment throughout their lifetime. This ongoing learning capacity serves as the …

自然界中的生物需要在其一生中不断地学**并适应环境, 这种持续学**的能力是生物学**系统的
基础. 尽管深度学**方法在计算机视觉和自然语言处理领域取得了重要进展 …