88 citations · 92 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 88 cited
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang, Xingxing Zhang, Qian Li +4
Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory st…
cs.NE2023★ 1 cited
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan, Zhongfan Jia, Qian Li +2
Rapidly learning from ongoing experiences and remembering past events with a flexible memory system are two core capacities of biological intelligence. While the underlying neural…
cs.LG2022★ 3 cited
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Liyuan Wang, Xingxing Zhang, Qian Li +2
Continual learning requires incremental compatibility with a sequence of tasks. However, the design of model architecture remains an open question: In general, learning all tasks w…