1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang, Chujie Zhao, Guanyu Chen +2
Learning representations that generalize under distribution shifts is critical for building robust machine learning models. However, despite significant efforts in recent years, al…
cs.RO2022★ 1 cited
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao, Yizhou Jiang, Feng Chen
Hierarchical Imitation Learning (HIL) is an effective way for robots to learn sub-skills from long-horizon unsegmented demonstrations. However, the learned hierarchical structure l…
cs.LG2021
A method of supervised learning from conflicting data with hidden contexts
Tianren Zhang, Yizhou Jiang, Feng Chen
Conventional supervised learning assumes a stable input-output relationship. However, this assumption fails in open-ended training settings where the input-output relationship depe…