hierarchical data

A Flag Decomposition for Hierarchical Datasets CVPR 2025 GLiNER2: Schema-Driven Multi-Task Learning for Structured Information Extraction EMNLP 2025 RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis ACL 2025 Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets NeurIPS 2024 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space NeurIPS 2023 Adaptive Poincaré Point to Set Distance for Few-Shot Classification AAAI 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022 JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data JMLR 2022 Hyperbolic Neural Networks++ ICLR 2021 Hyperbolic Procrustes Analysis Using Riemannian Geometry NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 Representing Hyperbolic Space Accurately using Multi-Component Floats NeurIPS 2021 Robust large-margin learning in hyperbolic space NeurIPS 2020 Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020 Large-Margin Classification in Hyperbolic Space AISTATS 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation CVPR 2019 Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models NeurIPS 2019 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Learning annotated hierarchies from relational data NeurIPS 2006