Tag: mamba
All the talks with the tag "mamba".
Vision Mamba - A Brief Overview
Adhilsha AnsadPublished: at 02:00 PMThis talk presents a look into a variant of the Mamba architecture in vision tasks, a linear-time sequence modeling approach that uses selective state spaces to achieve results comparable to or even better than state-of-the-art vision models.
A Brief Overview of Recent Advances in Sequence Modeling Through Structured State Space Models
Jyotirmaya ShivottamPublished: at 10:00 AMThis talk outlines recent advances in sequence modeling using structured state space models, starting with the basic formulation that initiated this line of research and moving on to more recent works (Mamba) that present complete architectures operating under certain assumptions. Core techniques that make these models work efficiently on long sequences, such as discretization and an associative scan operation to parallelize the computation, will also be discussed.
Mamba - Linear-Time Sequence Modeling with Selective State Spaces
Sagar Prakash BaradPublished: at 02:00 PMThis talk presents a look into the Mamba architecture, a linear-time sequence modeling approach that uses selective state spaces to achieve state-of-the-art performance on a range of sequence modeling tasks.