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Mamba

Papers

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Showing 1001–1050 of 1058 papers

TitleStatusHype
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical NotesCode1
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image SegmentationCode3
Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorCode0
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space ModelsCode1
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
MedMamba: Vision Mamba for Medical Image ClassificationCode4
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence ModelingCode3
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target DetectionCode2
The Hidden Attention of Mamba ModelsCode3
Point Cloud Mamba: Point Cloud Learning via State Space ModelCode2
Theoretical Foundations of Deep Selective State-Space ModelsCode1
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language ModelsCode7
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty EstimationCode0
Simple linear attention language models balance the recall-throughput tradeoffCode3
Log Neural Controlled Differential Equations: The Lie Brackets Make a DifferenceCode1
Evaluating Quantized Large Language ModelsCode2
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language ModelsCode2
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
MambaIR: A Simple Baseline for Image Restoration with State-Space ModelCode5
Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationCode0
Pan-Mamba: Effective pan-sharpening with State Space ModelCode2
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
PointMamba: A Simple State Space Model for Point Cloud AnalysisCode4
Hierarchical State Space Models for Continuous Sequence-to-Sequence ModelingCode1
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation—0
Graph Mamba: Towards Learning on Graphs with State Space ModelsCode0
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
FD-Vision Mamba for Endoscopic Exposure CorrectionCode0
Mamba-ND: Selective State Space Modeling for Multi-Dimensional DataCode2
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
U-shaped Vision Mamba for Single Image DehazingCode2
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning TasksCode3
A Survey on Transformer Compression—0
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Is Mamba Capable of In-Context Learning?Code1
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
VM-UNet: Vision Mamba UNet for Medical Image SegmentationCode4
BlackMamba: Mixture of Experts for State-Space ModelsCode3
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State SpacesCode3
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
MambaByte: Token-free Selective State Space Model—0
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image SegmentationCode4
VMamba: Visual State Space ModelCode7
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelCode2
MambaTab: A Plug-and-Play Model for Learning Tabular DataCode1
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
MoE-Mamba: Efficient Selective State Space Models with Mixture of ExpertsCode3
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text PromptsCode2
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