Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Ran Xu

Ran Xu

Neighborhood-Regularized Self-Training for Learning with Few Labels

Jan 10, 2023
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce Ho, Chao Zhang, Carl Yang

Figure 1 for Neighborhood-Regularized Self-Training for Learning with Few Labels

Figure 2 for Neighborhood-Regularized Self-Training for Learning with Few Labels

Figure 3 for Neighborhood-Regularized Self-Training for Learning with Few Labels

Figure 4 for Neighborhood-Regularized Self-Training for Learning with Few Labels

* Accepted to AAAI 2023

Access Paper or Ask Questions

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Dec 06, 2022
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

Figure 1 for Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Figure 2 for Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Figure 3 for Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Figure 4 for Tackling Data Heterogeneity in Federated Learning with Class Prototypes

* Accepted for presentation at AAAI 2023. This is a technical report version that contains an appendix with additional details about experiments and proofs for technical results

Access Paper or Ask Questions

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Apr 27, 2022
Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah

Figure 1 for Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Figure 2 for Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Figure 3 for Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Figure 4 for Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

* Accepted by CVPR, 2022

Access Paper or Ask Questions