A replay-based continual learning toolkit that combines low-rank adaptation, a post-task consolidation phase, and sequential weight merging to cut replay sample usage by up to 65% at matched accuracy.
Ss-il: Separated softmax for incremental learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Scalable Strategies for Continual Learning with Replay
A replay-based continual learning toolkit that combines low-rank adaptation, a post-task consolidation phase, and sequential weight merging to cut replay sample usage by up to 65% at matched accuracy.