18 citations · 20 across the 3 of their papers we have counts for
3 papers
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.LG2021★ 18 cited
AFEC: Active Forgetting of Negative Transfer in Continual Learning
Liyuan Wang, Mingtian Zhang, Zhongfan Jia +5
Continual learning aims to learn a sequence of tasks from dynamic data distributions. Without accessing to the old training samples, knowledge transfer from the old tasks to each n…
cs.CV2019★ 1 cited
Exploring Frequency Domain Interpretation of Convolutional Neural Networks
Zhongfan Jia, Chenglong Bao, Kaisheng Ma
Many existing interpretation methods of convolutional neural networks (CNNs) mainly analyze in spatial domain, yet model interpretability in frequency domain has been rarely studie…