hyperbolic space

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction ICCV 2023 Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 2023 HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization CVPR 2023 Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space NeurIPS 2023 Hyperbolic Audio-visual Zero-shot Learning ICCV 2023 Hyperbolic Chamfer Distance for Point Cloud Completion ICCV 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects CVPR 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic Image-text Representations ICML 2023 Hyperbolic Representation Learning: Revisiting and Advancing ICML 2023 Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NeurIPS 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction EMNLP 2023 Learning Affinity with Hyperbolic Representation for Spatial Propagation ICML 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Poincare ResNet ICCV 2023 Random Laplacian Features for Learning with Hyperbolic Space ICLR 2023 Riemannian Residual Neural Networks NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023 The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation ICCV 2023 The Numerical Stability of Hyperbolic Representation Learning ICML 2023 Tight and fast generalization error bound of graph embedding in metric space ICML 2023 Adaptive Poincaré Point to Set Distance for Few-Shot Classification AAAI 2022