research
∙
08/07/2022
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
In class-incremental learning, the model is expected to learn new classe...
share
research
∙
08/07/2022
Learning Modular Structures That Generalize Out-of-Distribution
Out-of-distribution (O.O.D.) generalization remains to be a key challeng...
research
∙
06/24/2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Deep neural networks (DNNs) are powerful learning machines that have ena...
research
∙
03/17/2020
Incremental Object Detection via Meta-Learning
In a real-world setting, object instances from new classes may be contin...
research
∙
09/07/2016
