positional encoding

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction CVPR 2023 OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement AAAI 2023 Orthogonal Transforms for Learning Invariant Representations in Equivariant Neural Networks WACV 2023 PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces CVPR 2023 Polynomial Implicit Neural Representations for Large Diverse Datasets CVPR 2023 Positional Encoder Graph Neural Networks for Geographic Data AISTATS 2023 Positional Label for Self-Supervised Vision Transformer AAAI 2023 Provable Memorization Capacity of Transformers ICLR 2023 Randomized Positional Encodings Boost Length Generalization of Transformers ACL 2023 The Impact of Positional Encoding on Length Generalization in Transformers NeurIPS 2023 The Locality and Symmetry of Positional Encodings EMNLP 2023 Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023 Transformers Meet Directed Graphs ICML 2023 Transformers over Directed Acyclic Graphs NeurIPS 2023 Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023 What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding NeurIPS 2023 A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism EMNLP 2022 Arbitrary-Scale Image Synthesis CVPR 2022 A Simple yet Effective Learnable Positional Encoding Method for Improving Document Transformer Model AACL 2022 A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model COLING 2022 Deep Point Cloud Reconstruction ICLR 2022 Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks ICLR 2022 Geometric Transformer for End-to-End Molecule Properties Prediction IJCAI 2022 Graph Neural Networks with Learnable Structural and Positional Representations ICLR 2022 Motion-Adjustable Neural Implicit Video Representation CVPR 2022