metric embedding

Fully Dynamic Embedding into ℓ_p Spaces ICML 2025 How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings ICLR 2025 RETSim: Resilient and Efficient Text Similarity ICLR 2024 Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks AAAI 2023 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NeurIPS 2023 Small Transformers Compute Universal Metric Embeddings JMLR 2023 Error Identification for Machine Translation with Metric Embedding and Attention EMNLP 2021 Dimensionality reduction: theoretical perspective on practical measures NeurIPS 2019 Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis AAAI 2019 Self-similar Epochs: Value in arrangement ICML 2019 BourGAN: Generative Networks with Metric Embeddings NeurIPS 2018 Measures of distortion for machine learning NeurIPS 2018 On the Power and Limits of Distance-Based Learning ICML 2016 Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces JMLR 2004