Tag: continual learning

A systematic review of 90 studies reveals that federated continual learning architectures remain largely confined to standard computer vision benchmarks ...

A computer vision framework re-identifies visually uniform, unmarked pigs across an 18-day period with 88% mean daily accuracy, rising to ...

Researchers have developed CLeaR, a continual learning framework that lets neural networks handle regression tasks such as wind power forecasting ...

A new method called CMKTC clusters data from sequentially arriving kernel matrices by preserving historical structure through anchor graphs and ...

A new mini-review maps what happens when multimodal sensing, federated privacy and continual adaptation must work simultaneously in human activity ...

WeanNet progressively withdraws a parent network’s lateral influence from a student, improving adaptation in a controlled concept-drift task while enabling ...

Every time a traveler passes through an automated border control gate at a major international airport, a face verification system ...

A new hypothesis paper argues that the ordered stages of human neurodevelopment, from reflexes to physical grounding to social reasoning, ...

A new framework called ADTE combines graph-attentive neural networks, non-stationary reinforcement learning, and continual learning to deliver adversarially robust, certified ...

An international study of 30 neonatal intensive care units shows that continual learning can adapt adult-trained AI models to newborn ...