Mamba-CL derives four orthogonality conditions for Mamba's SSM parameters and enforces them via null-space projection, yielding state-of-the-art continual learning accuracy on ImageNet-R, CIFAR-100, and DomainNet.
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Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning
Mamba-CL derives four orthogonality conditions for Mamba's SSM parameters and enforces them via null-space projection, yielding state-of-the-art continual learning accuracy on ImageNet-R, CIFAR-100, and DomainNet.