Tag: catastrophic forgetting

Researchers have unveiled a meta-learning model that recognizes ship types from underwater sound using only a few examples while retaining ...

Japanese researchers show that federated learning networks can progressively improve brain lesion detection software as hospitals join one at a ...

Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in ...

Researchers have developed a hypernetwork-based framework that lets continually learning AI systems erase specific tasks without access to the original ...

Penn State researchers have developed a continual learning method that adaptively adjusts LoRA ranks layer by layer, helping large language ...

Researchers in India have developed BiPC-IFS, a few-shot class-incremental learning framework that lets intrusion detection systems learn new cyberattacks from ...