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.
Memory aware synapses: Learning what (not) to forget
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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.