no code implementations • 5 Feb 2024 • Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Out-of-Distribution (OoD) detection is vital for the reliability of Deep Neural Networks (DNNs).
Out-of-Distribution Detection Out of Distribution (OOD) Detection
1 code implementation • 16 Jan 2024 • Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen
Personalized federated learning aims to address data heterogeneity across local clients in federated learning.
no code implementations • 22 Oct 2020 • Kexin Lv, Fan He, Xiaolin Huang, Jie Yang, Liming Chen
Nowadays, more and more datasets are stored in a distributed way for the sake of memory storage or data privacy.
1 code implementation • 6 May 2020 • Fan He, Kexin Lv, Jie Yang, Xiaolin Huang
This letter proposes a one-shot algorithm for feature-distributed kernel PCA.
no code implementations • 23 Apr 2020 • Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang
To overcome this limitation, in this paper, we propose a sparse generalized canonical correlation analysis (GCCA), which could detect the latent relations of multiview data with sparse structures.