Models
Datasets
Spaces
Posts
Docs
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2402.08678

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31 • 63
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models

Paper • 2406.04320 • Published Jun 6 • 7
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29 • 9
Graph Mamba: Towards Learning on Graphs with State Space Models

Paper • 2402.08678 • Published Feb 13 • 13

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Paper • 2311.14495 • Published Nov 24, 2023 • 1
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Paper • 2401.13560 • Published Jan 24 • 1
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Paper • 2402.00789 • Published Feb 1 • 2

Collection of State Space Model and Mamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 138
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58
Vivim: a Video Vision Mamba for Medical Video Object Segmentation

Paper • 2401.14168 • Published Jan 25 • 2
HiPPO: Recurrent Memory with Optimal Polynomial Projections

Paper • 2008.07669 • Published Aug 17, 2020 • 1

Mambas and LLM-AltArch

Graph Mamba: Towards Learning on Graphs with State Space Models

Paper • 2402.08678 • Published Feb 13 • 13
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 29
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 49
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58

Graph Mamba: Towards Learning on Graphs with State Space Models

Paper • 2402.08678 • Published Feb 13 • 13
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters

Paper • 2405.16287 • Published May 25 • 10

Graph Mamba: Towards Learning on Graphs with State Space Models

Paper • 2402.08678 • Published Feb 13 • 13

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Paper • 2311.14495 • Published Nov 24, 2023 • 1
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Paper • 2401.13560 • Published Jan 24 • 1
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Paper • 2402.00789 • Published Feb 1 • 2

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58
VMamba: Visual State Space Model

Paper • 2401.10166 • Published Jan 18 • 37
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Paper • 2401.13560 • Published Jan 24 • 1
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Paper • 2402.00789 • Published Feb 1 • 2

Graph Foundation Multimodal Models

Multimodal Graph Learning for Generative Tasks

Paper • 2310.07478 • Published Oct 11, 2023 • 1
Rethinking Patch Dependence for Masked Autoencoders

Paper • 2401.14391 • Published Jan 25 • 22
Graph Mamba: Towards Learning on Graphs with State Space Models

Paper • 2402.08678 • Published Feb 13 • 13
GraphWiz: An Instruction-Following Language Model for Graph Problems

Paper • 2402.16029 • Published Feb 25 • 2

Trellis Networks for Sequence Modeling

Paper • 1810.06682 • Published Oct 15, 2018 • 1
Pruning Very Deep Neural Network Channels for Efficient Inference

Paper • 2211.08339 • Published Nov 14, 2022 • 1
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch

Paper • 2309.14157 • Published Sep 25, 2023 • 1
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 138

Company

© Hugging Face

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs