Co-occurring keywords · papers mentioning both
Papers
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
ICLR 2023
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
AAAI 2022
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
EMNLP 2022
From Hyperbolic Geometry Back to Word Embeddings
ACL 2022
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
NeurIPS 2021
Computationally Tractable Riemannian Manifolds for Graph Embeddings
AAAI 2021
Curvature Generation in Curved Spaces for Few-Shot Learning
ICCV 2021
Extracting Event Temporal Relations via Hyperbolic Geometry
EMNLP 2021
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
EMNLP 2021
Learning the Predictability of the Future
CVPR 2021
Constant Curvature Graph Convolutional Networks
ICML 2020
Hyperbolic Capsule Networks for Multi-Label Classification
ACL 2020
HyperText: Endowing FastText with Hyperbolic Geometry
EMNLP 2020
Hyperbolic Attention Networks
ICLR 2019
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
ICML 2019
Hyperbolic Graph Convolutional Neural Networks
NeurIPS 2019
Hyperbolic Graph Neural Networks
NeurIPS 2019
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
IJCAI 2019
Lorentzian Distance Learning for Hyperbolic Representations
ICML 2019
Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration
CVPR 2013