Jinlin Xiang

According to our database, Jinlin Xiang authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning.

Jinlin Xiang, Eli Shlizerman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning.

Jinlin Xiang, Eli Shlizerman

CoRR, 2022

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation.

Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

2021

Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks.

Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman

CoRR, 2021

2020

BI-MAML: Balanced Incremental Approach for Meta Learning.

Yang Zheng, Jinlin Xiang, Kun Su, Eli Shlizerman

CoRR, 2020