Co-occurring keywords · papers mentioning both
Papers
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
NeurIPS 2024
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
ACML 2024
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
CVPR 2024
Fractal Patterns May Illuminate the Success of Next-Token Prediction
NeurIPS 2024
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
AISTATS 2024
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
NeurIPS 2024
Long-range Brain Graph Transformer
NeurIPS 2024
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
NeurIPS 2024
MambaTree: Tree Topology is All You Need in State Space Model
NeurIPS 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NeurIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
NeurIPS 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
AAAI 2024
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation
AAAI 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
ICLR 2024
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
AAAI 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
NeurIPS 2024
A Generalization of ViT/MLP-Mixer to Graphs
ICML 2023
BiFormer: Vision Transformer With Bi-Level Routing Attention
CVPR 2023
Block-State Transformers
NeurIPS 2023
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
ICLR 2023
Decision S4: Efficient Sequence-Based RL via State Spaces Layers
ICLR 2023
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
EMNLP 2023
Focus Your Attention (with Adaptive IIR Filters)
EMNLP 2023
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
ICLR 2023