research
∙
02/20/2023
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation
3D object recognition has successfully become an appealing research topi...
share
research
∙
01/25/2023
DEJA VU: Continual Model Generalization For Unseen Domains
In real-world applications, deep learning models often run in non-statio...
research
∙
03/22/2022
Federated Class-Incremental Learning
Federated learning (FL) has attracted growing attention via data-private...
research
∙
06/13/2021
Non-Transferable Learning: A New Approach for Model Verification and Authorization
As Artificial Intelligence as a Service gains popularity, protecting wel...
research
∙
02/15/2021
Weak Adaptation Learning – Addressing Cross-domain Data Insufficiency with Weak Annotator
Data quantity and quality are crucial factors for data-driven learning m...
research
∙
08/14/2020
Towards Class Imbalance in Federated Learning
Federated learning (FL) is a promising approach for training decentraliz...
research
∙
10/14/2019