Adaptive Group Sparse Regularization for Continual Learning
By Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon. 2020
8 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (2022, background): “There are several empirical results that support this choice, such as the observation that removing the most active units degrades performance much more than removing the same number of randomly chosen units (Jung et al., 2020a).”