Copertina

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Watanabe, Koshi, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

StarMAP: Global Neighbor Embedding for Faithful Data Visualization
di: Watanabe, Koshi, et al.
Pubblicazione: (2025)

Few-shot Personalized Saliency Prediction Based on Interpersonal Gaze Patterns
di: Moroto, Yuya, et al.
Pubblicazione: (2023)

Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition
di: Takahashi, Ryo, et al.
Pubblicazione: (2025)

Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation
di: Uesugi, Kenta, et al.
Pubblicazione: (2025)

Predictive but Not Plannable: RC-aux for Latent World Models
di: Li, Wenyuan, et al.
Pubblicazione: (2026)

Hyperbolic Dataset Distillation
di: Li, Wenyuan, et al.
Pubblicazione: (2025)

Generative Dataset Distillation: Balancing Global Structure and Local Details
di: Li, Longzhen, et al.
Pubblicazione: (2024)

Generative Dataset Distillation Based on Self-knowledge Distillation
di: Li, Longzhen, et al.
Pubblicazione: (2025)

Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
di: Feng, Yuhu, et al.
Pubblicazione: (2025)

Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering
di: Zhu, He, et al.
Pubblicazione: (2024)

Importance-Aware Adaptive Dataset Distillation
di: Li, Guang, et al.
Pubblicazione: (2024)

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
di: Li, Guang, et al.
Pubblicazione: (2022)

L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
di: Yang, Minghao, et al.
Pubblicazione: (2026)

Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
di: Yang, Minghao, et al.
Pubblicazione: (2025)

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
di: Li, Mingzhuo, et al.
Pubblicazione: (2025)

Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
di: Peng, Bincheng, et al.
Pubblicazione: (2026)

Multi-View Oriented GPLVM: Expressiveness and Efficiency
di: Yang, Zi, et al.
Pubblicazione: (2025)

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
di: Li, Mingzhuo, et al.
Pubblicazione: (2025)

Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
di: Tsutsumi, Ayaka, et al.
Pubblicazione: (2025)

Reinforcing Pre-trained Models Using Counterfactual Images
di: Li, Xiang, et al.
Pubblicazione: (2024)

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
di: Togo, Taro, et al.
Pubblicazione: (2024)

Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
di: Uchida, Yuiko, et al.
Pubblicazione: (2025)

Decoupled Audio-Visual Dataset Distillation
di: Li, Wenyuan, et al.
Pubblicazione: (2025)

Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds
di: Jaquier, Noémie, et al.
Pubblicazione: (2022)

Foreground-Aware Dataset Distillation via Dynamic Patch Selection
di: Li, Longzhen, et al.
Pubblicazione: (2026)

Generative Dataset Distillation Based on Diffusion Model
di: Su, Duo, et al.
Pubblicazione: (2024)

Information-Guided Diffusion Sampling for Dataset Distillation
di: Ye, Linfeng, et al.
Pubblicazione: (2025)

SAS: Semantic-aware Sampling for Generative Dataset Distillation
di: Li, Mingzhuo, et al.
Pubblicazione: (2026)

Cross-domain Multi-step Thinking: Zero-shot Fine-grained Traffic Sign Recognition in the Wild
di: Gan, Yaozong, et al.
Pubblicazione: (2024)

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
di: Gan, Yaozong, et al.
Pubblicazione: (2024)

Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation
di: Zhu, He, et al.
Pubblicazione: (2026)

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
di: Tasai, Ren, et al.
Pubblicazione: (2025)

Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis
di: Ali, Sarwan, et al.
Pubblicazione: (2025)

Prompt-based Personalized Federated Learning for Medical Visual Question Answering
di: Zhu, He, et al.
Pubblicazione: (2024)

LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
di: Sakurai, Keigo, et al.
Pubblicazione: (2024)

Soft-Label Anonymous Gastric X-ray Image Distillation
di: Li, Guang, et al.
Pubblicazione: (2021)

Discovering Hierarchy-Grounded Domains with Adaptive Granularity for Clinical Domain Generalization
di: Hu, Pengfei, et al.
Pubblicazione: (2025)

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
di: Kim, Hwanwoo, et al.
Pubblicazione: (2024)

Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
di: Souto, Hugo Gobato, et al.
Pubblicazione: (2024)

scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data
di: Vandenhirtz, Moritz, et al.
Pubblicazione: (2024)