S6MOD, a state space model branch with a class-conditioned mixture of discretization and a contrastive discretization loss, modestly improves average accuracy and forgetting of seven online continual learning baselines.
Riemannian walk for incremen- tal learning: Understanding forgetting and intransigence
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
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
S6MOD, a state space model branch with a class-conditioned mixture of discretization and a contrastive discretization loss, modestly improves average accuracy and forgetting of seven online continual learning baselines.