1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Haoran Li, Jingfeng Wu, Vladimir Braverman
We study the statistical performance of a continual learning problem with two linear regression tasks in a well-specified random design setting. We consider a structural regulariza…
cs.LG2024
A review of graph neural network applications in mechanics-related domains
Yingxue Zhao, Haoran Li, Haosu Zhou +3
Mechanics-related problems often present unique challenges in achieving accurate geometric and physical representations, particularly for non-uniform structures. Graph neural netwo…
cs.CL2023★ 1 cited
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke, Bing Liu, Wenhan Xiong +2
Continual learning (CL) has two main objectives: preventing catastrophic forgetting (CF) and encouraging knowledge transfer (KT). The existing literature mainly focused on overcomi…