1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Lukas Balles, Giovanni Zappella, Cédric Archambeau
The goal of continual learning (CL) is to efficiently update a machine learning model with new data without forgetting previously-learned knowledge. Most widely-used CL methods rel…
cs.LG2021
Gradient-matching coresets for continual learning
Lukas Balles, Giovanni Zappella, Cédric Archambeau
We devise a coreset selection method based on the idea of gradient matching: The gradients induced by the coreset should match, as closely as possible, those induced by the origina…