long-range dependencies

Efficient Movie Scene Detection Using State-Space Transformers CVPR 2023 Long-range Multimodal Pretraining for Movie Understanding ICCV 2023 Online learning of long-range dependencies NeurIPS 2023 Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ IJCAI 2023 Transformers in Time Series: A Survey IJCAI 2023 Diagonal State Spaces are as Effective as Structured State Spaces NeurIPS 2022 Generative Flows With Invertible Attentions CVPR 2022 On the Parameterization and Initialization of Diagonal State Space Models NeurIPS 2022 Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022 Stratified Transformer for 3D Point Cloud Segmentation CVPR 2022 EIGNN: Efficient Infinite-Depth Graph Neural Networks NeurIPS 2021 Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. ICML 2021 Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021 Multiple Object Tracking With Correlation Learning CVPR 2021 Unifying Nonlocal Blocks for Neural Networks ICCV 2021 Dynamic Graph Message Passing Networks CVPR 2020 Rethinking Learnable Tree Filter for Generic Feature Transform NeurIPS 2020 Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NeurIPS 2019 A^2-Nets: Double Attention Networks NeurIPS 2018 A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension ACL 2018 Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields IJCNLP 2017