Abstract: Few-shot class incremental learning implies the model to learn new classes while retaining knowledge of previously learned classes with a small number of training instances. Existing ...

Abstract: Clustering drifting data is common in the field of biomedical data analysis. Data chunks collected at different periods often exhibit clusters with significantly different sizes, and ...