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cs.LG2022
Better Generalized Few-Shot Learning Even Without Base Data
Seong-Woong Kim, Dong-Wan Choi
This paper introduces and studies zero-base generalized few-shot learning (zero-base GFSL), which is an extreme yet practical version of few-shot learning problem. Motivated by the…
cs.LG2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim, Dong-Wan Choi
Continual learning has been a major problem in the deep learning community, where the main challenge is how to effectively learn a series of newly arriving tasks without forgetting…