no code implementations • 5 Nov 2023 • Qian Chen, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Zhen Yan, Bo Ye
Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users.
no code implementations • 30 Jun 2023 • Yiqiang Chen, Teng Zhang, Xinlong Jiang, Qian Chen, Chenlong Gao, Wuliang Huang
The conflicting gradient projection technique is used to enhance the generalization of the large-scale general model between different tasks.
1 code implementation • 21 Jul 2022 • Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang
To this end, we propose \emph{Adaptive Feature Fusion for Activity Recognition~(AFFAR)}, a domain generalization approach that learns to fuse the domain-invariant and domain-specific representations to improve the model's generalization performance.