Selective State Space Models
PulseAugur coverage of Selective State Space Models — every cluster mentioning Selective State Space Models across labs, papers, and developer communities, ranked by signal.
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Vision Mamba vs. MambaOut: Decoding distinct visual encoding strategies
A new research paper investigates the differing encoding strategies of Vision Mamba (VMamba) and MambaOut models, which both utilize selective state space models (SSMs) as alternatives to traditional self-attention for …
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New research analyzes stability properties of Mamba-like selective SSMs
Researchers have published a paper on the regularity and stability properties of Selective State-Space Models (SSMs), a type of model used in long-sequence modeling, with Mamba being a prominent example. The study appli…
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Mamba-FSCIL: Selective State Space Models for Few-Shot Class-Incremental Learning
Researchers have developed Mamba-FSCIL, a novel approach to few-shot class-incremental learning that utilizes Selective State Space Models (SSMs). This method addresses the challenge of balancing static and dynamic arch…