linear complexity

One-step Spiking Transformer with a Linear Complexity IJCAI 2024 PointMamba: A Simple State Space Model for Point Cloud Analysis NeurIPS 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 Scaling Laws for Linear Complexity Language Models EMNLP 2024 SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs WACV 2024 Sharing Key Semantics in Transformer Makes Efficient Image Restoration NeurIPS 2024 SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding Interspeech 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries ICML 2024 VFIMamba: Video Frame Interpolation with State Space Models NeurIPS 2024 VMamba: Visual State Space Model NeurIPS 2024 Efficient Attention via Control Variates ICLR 2023 HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition Interspeech 2023 KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach IJCAI 2023 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023 MB-TaylorFormer: Multi-Branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing ICCV 2023 RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration ICCV 2023 Scalable and Effective Conductance-Based Graph Clustering AAAI 2023 Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer IJCAI 2023 ViBid: Linear Vision Transformer with Bidirectional Normalization UAI 2023 EcoFormer: Energy-Saving Attention with Linear Complexity NeurIPS 2022 Flowformer: Linearizing Transformers with Conservation Flows ICML 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 Linear Complexity Randomized Self-attention Mechanism ICML 2022 Linearizing Transformer with Key-Value Memory EMNLP 2022 PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022